Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
The complexity of theorem-proving procedures
STOC '71 Proceedings of the third annual ACM symposium on Theory of computing
Classifying learnable geometric concepts with the Vapnik-Chervonenkis dimension
STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
ACM SIGSAC Review
On the learnability of Boolean formulae
STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Probabilistic inductive inference
Journal of the ACM (JACM)
Learning in the presence of malicious errors
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Computational limitations on learning from examples
Journal of the ACM (JACM)
The minimum consistent DFA problem cannot be approximated within and polynomial
STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing
Crytographic limitations on learning Boolean formulae and finite automata
STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Learnable and Nonlearnable Visual Concepts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
On the necessity of Occam algorithms
STOC '90 Proceedings of the twenty-second annual ACM symposium on Theory of computing
Learning boolean functions in an infinite attribute space
STOC '90 Proceedings of the twenty-second annual ACM symposium on Theory of computing
When won't membership queries help?
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
Linear approximation of shortest superstrings
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
Learning decision trees using the Fourier spectrum
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
On the role of prototypes in appellate legal argument (abstract)
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
An integrated architecture for learning and planning in robotic domains
ACM SIGART Bulletin
An architecture for bounded rationality
ACM SIGART Bulletin
On the inadequacies of data state space sampling as a measure of the trustworthiness of programs
ACM SIGSOFT Software Engineering Notes
Learning the Fourier spectrum of probabilistic lists and trees
SODA '91 Proceedings of the second annual ACM-SIAM symposium on Discrete algorithms
Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Fast learning of k-term DNF formulas with queries
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
On-line learning of rectangles
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Cryptographic lower bounds for learnability of Boolean functions on the uniform distribution
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
An O(nlog log n) learning algorithm for DNF under the uniform distribution
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A technique for upper bounding the spectral norm with applications to learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Exact learning of read-k disjoint DNF and not-so-disjoint DNF
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning DNF formulae under classes of probability distributions
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learnability of description logics
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
PAC-learnability of determinate logic programs
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
PAC learning with generalized samples and an application to stochastic geometry
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning with a slowly changing distribution
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Dominating distributions and learnability
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Polynomial uniform convergence and polynomial-sample learnability
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning stochastic functions by smooth simultaneous estimation
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A noise model on learning sets of strings
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
On exact specification by examples
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A computational model of teaching
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Approximate testing and learnability
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Characterizations of learnability for classes of {O, …, n}-valued functions
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Toward efficient agnostic learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
An improved boosting algorithm and its implications on learning complexity
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning efficient query processing strategies
PODS '92 Proceedings of the eleventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
The minimum consistent DFA problem cannot be approximated within any polynomial
Journal of the ACM (JACM)
Learning read-once formulas with queries
Journal of the ACM (JACM)
A Partially Supervised Learning Algorithm for Linearly Separable Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of the ACM (JACM)
Original Contribution: Stacked generalization
Neural Networks
Pattern Recognition and Valiant's Learning Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Test case generation by means of learning techniques
SIGSOFT '93 Proceedings of the 1st ACM SIGSOFT symposium on Foundations of software engineering
Efficient learning of typical finite automata from random walks
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Bounds for the computational power and learning complexity of analog neural nets
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Cryptographic hardness of distribution-specific learning
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Efficient noise-tolerant learning from statistical queries
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Learning sparse multivariate polynomials over a field with queries and counterexamples
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Linear time deterministic learning of k-term DNF
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Asking questions to minimize errors
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Parameterized learning complexity
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On the query complexity of learning
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On polynomial-time probably almost discriminative learnability
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Lower bounds on the Vapnik-Chervonenkis dimension of multi-layer threshold networks
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On the power of polynomial discriminators and radial basis function networks
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On the impact of forgetting on learning machines
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On learning in the limit and non-uniform (&egr;,&dgr;)-learning
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning fallible finite state automata
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Efficient identification of regular expressions from representative examples
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning unions of two rectangles in the plane with equivalence queries
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Statistical queries and faulty PAC oracles
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On learning visual concepts and DNF formulae
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On learning embedded symmetric concepts
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Amplification of weak learning under the uniform distribution
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning k&mgr; decision trees on the uniform distribution
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Conservativeness and monotonicity for learning algorithms
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Lower bounds for PAC learning with queries
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
General bounds on the number of examples needed for learning probabilistic concepts
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Hybrid pattern recognition system capable of self-modification
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Experiments on multistrategy learning by meta-learning
CIKM '93 Proceedings of the second international conference on Information and knowledge management
CSC '93 Proceedings of the 1993 ACM conference on Computer science
Constant depth circuits, Fourier transform, and learnability
Journal of the ACM (JACM)
Cryptographic limitations on learning Boolean formulae and finite automata
Journal of the ACM (JACM)
On randomization in sequential and distributed algorithms
ACM Computing Surveys (CSUR)
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Linear approximation of shortest superstrings
Journal of the ACM (JACM)
Efficient agnostic PAC-learning with simple hypothesis
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Efficient reinforcement learning
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
On learning Read-k-Satisfy-j DNF
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
On the limits of proper learnability of subclasses of DNF formulas
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Oracles and queries that are sufficient for exact learning (extended abstract)
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Inference and minimization of hidden Markov chains
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning monotone log-term DNF formulas
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
The minimum L-complexity algorithm and its applications to learning non-parametric rules
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning unions of boxes with membership and equivalence queries
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
An optimal parallel algorithm for learning DFA
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning one-dimensional geometric patterns under one-sided random misclassification noise
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Fat-shattering and the learnability of real-valued functions
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Exploiting random walks for learning
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning from a consistently ignorant teacher
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Lower bounds on the VC-dimension of smoothly parametrized function classes
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Inductive logic programming: derivations, successes and shortcomings
ACM SIGART Bulletin
Inductive logic programming and learnability
ACM SIGART Bulletin
The power of sampling in knowledge discovery
PODS '94 Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Efficient distribution-free learning of probabilistic concepts
Journal of Computer and System Sciences - Special issue: 31st IEEE conference on foundations of computer science, Oct. 22–24, 1990
Journal of Computer and System Sciences
1994 Special Issue: Design and evolution of modular neural network architectures
Neural Networks - Special issue: models of neurodynamics and behavior
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Simulating access to hidden information while learning
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
On the learnability of discrete distributions
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Journal of the ACM (JACM)
How many queries are needed to learn?
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning with unreliable boundary queries
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning DNF over the uniform distribution using a quantum example oracle
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Reducing the number of queries in self-directed learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Being taught can be faster than asking questions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On learning decision trees with large output domains (extended abstract)
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On the learnability of Zn-DNF formulas (extended abstract)
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Proper learning algorithm for functions of k terms under smooth distributions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning to reason with a restricted view
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Concept learning with geometric hypotheses
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
More or less efficient agnostic learning of convex polygons
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Noise-tolerant parallel learning of geometric concepts
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On learning from noisy and incomplete examples
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On efficient agnostic learning of linear combinations of basis functions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Learning from a mixture of labeled and unlabeled examples with parametric side information
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Specification and simulation of statistical query algorithms for efficiency and noise tolerance
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Simple learning algorithms using divide and conquer
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Knowledge compilation and theory approximation
Journal of the ACM (JACM)
Testing by means of inductive program learning
ACM Transactions on Software Engineering and Methodology (TOSEM)
On the impact of forgetting on learning machines
Journal of the ACM (JACM)
On the Fourier spectrum of monotone functions
Journal of the ACM (JACM)
How many queries are needed to learn?
Journal of the ACM (JACM)
Learning Sat-k-DNF formulas from membership queries
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Towards the learnability of DNF formulae
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Noise-tolerant learning near the information-theoretic bound
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Noise-tolerant distribution-free learning of general geometric concepts
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
On the boosting ability of top-down decision tree learning algorithms
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
VC dimension of an integrate-and-fire neuron model
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A Bayesian/information theoretic model of bias learning
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
On the complexity of learning from drifting distributions
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
On learning width two branching programs (extended abstract)
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
PAC learning intersections of halfspaces with membership queries (extended abstract)
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
On the Accuracy of Meta-learning for Scalable Data Mining
Journal of Intelligent Information Systems
Learning Qualitative Models of Dynamic Systems
Machine Learning - special issue on inductive logic programming
Exact Learning of Formulas in Parallel
Machine Learning
Tolerating Concept and Sampling Shift in Lazy Learning UsingPrediction Error Context Switching
Artificial Intelligence Review - Special issue on lazy learning
Lazy Incremental Learning of Control Knowledge for EfficientlyObtaining Quality Plans
Artificial Intelligence Review - Special issue on lazy learning
Journal of the ACM (JACM)
Approximating hyper-rectangles: learning and pseudo-random sets
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
A composition theorem for learning algorithms with applications to geometric concept classes
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Selective Sampling Using the Query by Committee Algorithm
Machine Learning
Reactive search, a history-sensitive heuristic for MAX-SAT
Journal of Experimental Algorithmics (JEA)
Journal of the ACM (JACM)
On the complexity of learning for a spiking neuron (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
PAC adaptive control of linear systems
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Computational sample complexity
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
A dichotomy theorem for learning quantified Boolean formulas
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Learning with maximum-entropy distributions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Some label efficient learning results
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Learning from examples with unspecified attribute values (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Software unit test coverage and adequacy
ACM Computing Surveys (CSUR)
Coping with Uncertainty in Map Learning
Machine Learning
The Sample Complexity of Learning Fixed-Structure Bayesian Networks
Machine Learning - Special issue on learning with probabilistic representations
A new composition theorem for learning algorithms
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Aspects of complexity of conservative probabilistic learning
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Improved lower bounds for learning from noisy examples: an information-theoretic approach
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
On the sample complexity of learning functions with bounded variation
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning first order universal Horn expressions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Cross-validation for binary classification by real-valued functions: theoretical analysis
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Property testing and its connection to learning and approximation
Journal of the ACM (JACM)
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
Hardness Results for Learning First-Order Representations and Programming by Demonstration
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
On Restricted-Focus-of-Attention Learnability of Boolean Functions
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
Identification criteria and lower bounds for perceptron-like learning rules
Neural Computation
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Noise-tolerant distribution-free learning of general geometric concepts
Journal of the ACM (JACM)
Function Estimation by Feedforward Sigmoidal Networks with BoundedWeights
Neural Processing Letters
Efficient noise-tolerant learning from statistical queries
Journal of the ACM (JACM)
Learning to resolve natural language ambiguities: a unified approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Estimating the expected error of empirical minimizers for model selection
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
Machine Learning - Special issue on context sensitivity and concept drift
Prioritizing Information for the Discovery of Phenomena
Journal of Intelligent Information Systems
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Computational sample complexity and attribute-efficient learning
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
An apprentice learning model (extended abstract)
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
More efficient PAC-learning of DNF with membership queries under the uniform distribution
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosting regression estimators
Neural Computation
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Machine Learning
Efficient progressive sampling
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to Reason with a Restricted View
Machine Learning
A Dichotomy Theorem for Learning Quantified Boolean Formulas
Machine Learning - Special issue: computational learning theory, COLT '97
Sample-efficient strategies for learning in the presence of noise
Journal of the ACM (JACM)
Application of Boolean expression minimization to learning via hierarchical generalization
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
What do Constructive Learners Really Learn?
Artificial Intelligence Review
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
A New Model of Computation for Learning Vision Modules from Examples
Journal of Mathematical Imaging and Vision
Learning functions represented as multiplicity automata
Journal of the ACM (JACM)
Learning Function-Free Horn Expressions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Improved bounds on the sample complexity of learning
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
On the Sample Complexity for Nonoverlapping Neural Networks
Machine Learning
Computational Economics - Computational Studies at Stanford
Upper and Lower Bounds on the Learning Curve for Gaussian Processes
Machine Learning
How Bad May Learning Curves Be?
IEEE Transactions on Pattern Analysis and Machine Intelligence
A neuroidal architecture for cognitive computation
Journal of the ACM (JACM)
Sublinear time approximate clustering
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Grammar induction as substructural inductive logic programming
Learning language in logic
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Sampling algorithms: lower bounds and applications
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
On Fusers that Perform Better than Best Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic inductive inference: a survey
Theoretical Computer Science
Complexity of learning in artificial neural networks
Theoretical Computer Science - Phase transitions in combinatorial problems
Theoretical Computer Science
Theoretical Computer Science - Algorithmic learning theory
Aspects of complexity of probabilistic learning under monotonicity constraints
Theoretical Computer Science - Algorithmic learning theory
Learning probabilistic datalog rules for information classification and transformation
Proceedings of the tenth international conference on Information and knowledge management
SIGACT News complexity theory column 32
ACM SIGACT News
Learning and decision-making in the framework of fuzzy lattices
New learning paradigms in soft computing
Active learning in neural networks
New learning paradigms in soft computing
New learning paradigms in soft computing
Learning fixed-dimension linear thresholds from fragmented data
Information and Computation
Competitive recommendation systems
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Ordered binary decision diagrams as knowledge-bases
Artificial Intelligence
Learning with Maximum-Entropy Distributions
Machine Learning
On Exact Learning of Unordered Tree Patterns
Machine Learning
Decision lists and related Boolean functions
Theoretical Computer Science
How to upgrade propositional learners to first order logic: case study
Relational Data Mining
Population dynamics of grammar acquisition
Simulating the evolution of language
Using computational learning strategies as a tool for combinatorial optimization
Annals of Mathematics and Artificial Intelligence
Efficient distribution-free population learning of simple concepts
Annals of Mathematics and Artificial Intelligence
On-line learning with malicious noise and the closure algorithm
Annals of Mathematics and Artificial Intelligence
Finding tree patterns consistent with positive and negative examples using queries
Annals of Mathematics and Artificial Intelligence
Dynamic non-Bayesian decision making in multi-agent systems
Annals of Mathematics and Artificial Intelligence
Remarks on computational learning theory
Annals of Mathematics and Artificial Intelligence
A Knowledge-Based Mesh Generation System for Forging Simulation
Applied Intelligence
Automated Software Engineering
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Synthesis of Supervisors Using Learning Algorithm of RegularLanguages
Discrete Event Dynamic Systems
Journal of Logic, Language and Information
Machine Learning for User Modeling
User Modeling and User-Adapted Interaction
Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Statistics and Computing
Phase Transitions in Relational Learning
Machine Learning
Linear Concepts and Hidden Variables
Machine Learning
Learning Regular Languages from Simple Positive Examples
Machine Learning
Learning DFA from Simple Examples
Machine Learning
Stochastic Finite Learning of the Pattern Languages
Machine Learning
Boosting Methods for Regression
Machine Learning
Computers and Operations Research
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
A perspective view and survey of meta-learning
Artificial Intelligence Review
Learning-Based Complexity Evaluation of Radial Basis Function Networks
Neural Processing Letters
The consistency dimension and distribution-dependent learning from queries
Theoretical Computer Science
On learning unions of pattern languages and tree patterns in the mistake bound model
Theoretical Computer Science
Theoretical Computer Science
On the power of incremental learning
Theoretical Computer Science
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Generalization and Generalizability Measures
IEEE Transactions on Knowledge and Data Engineering
Knowledge Discovery by Inductive Neural Networks
IEEE Transactions on Knowledge and Data Engineering
On Learning to Recognize 3-D Objects from Examples
IEEE Transactions on Pattern Analysis and Machine Intelligence
PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Separations by Boolean Combinations of Half-Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Efficient Allocation of Resources for Hypothesis Evaluation: A Statistical Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Expert Network for DNA Sequence Analysis
IEEE Intelligent Systems
A geometric approach to leveraging weak learners
Theoretical Computer Science
Learning cost-sensitive active classifiers
Artificial Intelligence
The complexity of minimizing and learning OBDDs and FBDDs
Discrete Applied Mathematics
Learning to recognize three-dimensional objects
Neural Computation
An inductive learning method for medical diagnosis
Pattern Recognition Letters
Information Processing Letters
Boosting and Hard-Core Set Construction
Machine Learning
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Learning to Recognize 3D Objects with SNoW
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Understanding Probabilistic Classifiers
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme
ECML '02 Proceedings of the 13th European Conference on Machine Learning
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Model Generation by Moderated Regular Extrapolation
FASE '02 Proceedings of the 5th International Conference on Fundamental Approaches to Software Engineering
On Sufficient Conditions to Identify in the Limit Classes of Grammars from Polynomial Time and Data
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
On the Learnability of Hidden Markov Models
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
A PAC Learnability of Simple Deterministic Languages
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
GA-Based Learning of kDNFns Boolean Formulas
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications
PAC Meditation on Boolean Formulas
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
Information Extraction in Structured Documents Using Tree Automata Induction
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Mathematical Modelling of Generalization
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Structural Complexity and Neural Networks
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Learning in Clausal Logic: A Perspective on Inductive Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
A Simulated Annealing-Based Learning Algorithm for Boolean DNF
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
From Computational Learning Theory to Discovery Science
ICAL '99 Proceedings of the 26th International Colloquium on Automata, Languages and Programming
ICALP '00 Proceedings of the 27th International Colloquium on Automata, Languages and Programming
Generalized Graph Colorability and Compressibility of Boolean Formulae
ISAAC '98 Proceedings of the 9th International Symposium on Algorithms and Computation
Finding Essential Attributes in Binary Data
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Reduced Support Vector Selection by Linear Programs
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Learning Expressions over Monoids
STACS '01 Proceedings of the 18th Annual Symposium on Theoretical Aspects of Computer Science
Behavior-Based Model Construction
VMCAI 2003 Proceedings of the 4th International Conference on Verification, Model Checking, and Abstract Interpretation
Algebraic Characterizations of Small Classes of Boolean Functions
STACS '03 Proceedings of the 20th Annual Symposium on Theoretical Aspects of Computer Science
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
On Distribution-Specific Learning with Membership Queries versus Pseudorandom Generation
FST TCS 2000 Proceedings of the 20th Conference on Foundations of Software Technology and Theoretical Computer Science
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Learning Range Restricted Horn Expressions
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Learnability of Quantified Formulas
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Coherent Concepts, Robust Learning
SOFSEM '99 Proceedings of the 26th Conference on Current Trends in Theory and Practice of Informatics on Theory and Practice of Informatics
How to Upgrade Propositional Learners to First Order Logic: A Case Study
Machine Learning and Its Applications, Advanced Lectures
Applying Boosting Techniques to Genetic Programming
Selected Papers from the 5th European Conference on Artificial Evolution
On the Sample Complexity for Neural Trees
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Learning Sub-classes of Monotone DNF on the Uniform Distribution
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Structured Weight-Based Prediction Algorithms
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Consistent Polynominal Identification in the Limit
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Positive and Unlabeled Examples Help Learning
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Theoretical Views of Boosting and Applications
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Finding Relevant Variables in PAC Model with Membership Queries
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On the Strength of Incremental Learning
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
The Consistency Dimension and Distribution-Dependent Learning from Queries (Extended Abstract)
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
The VC-Dimension of Subclasses of Pattern
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Learning Erasing Pattern Languages with Queries
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
On the Hardness of Learning Acyclic Conjunctive Queries
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Identification of Function Distinguishable Languages
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Learning from Positive and Unlabeled Examples
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Learning Intermediate Concepts
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
On Learning Correlated Boolean Functions Using Statistical Queries
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Extending Elementary Formal Systems
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Learning of Boolean Functions Using Support Vector Machines
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Maximizing Agreements and CoAgnostic Learning
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
On Learning Embedded Midbit Functions
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Knowledge Discovery from Semistructured Texts
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Solving Computational Learning Problems of Boolean Formulae on DNA Computers
DNA '00 Revised Papers from the 6th International Workshop on DNA-Based Computers: DNA Computing
On Variants of Iterative Learning
DS '98 Proceedings of the First International Conference on Discovery Science
Mining Semi-structured Data by Path Expressions
DS '01 Proceedings of the 4th International Conference on Discovery Science
The Biases of Decision Tree Pruning Strategies
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
From Theoretical Learnability to Statistical Measures of the Learnable
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Classification Approach to Word Selection in Machine Translation
AMTA '02 Proceedings of the 5th Conference of the Association for Machine Translation in the Americas on Machine Translation: From Research to Real Users
New Lower Bounds for Statistical Query Learning
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
On Boosting with Optimal Poly-Bounded Distributions
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
On Learning Monotone DNF under Product Distributions
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
When Can Two Unsupervised Learners Achieve PAC Separation?
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Inferring Deterministic Linear Languages
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Maximizing the Margin with Boosting
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
New Lower Bounds for Statistical Query Learning
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
On the Proper Learning of Axis Parallel Concepts
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Exploring Learnability between Exact and PAC
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
PAC Learning from Positive Statistical Queries
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Using the Pseudo-Dimension to Analyze Approximation Algorithms for Integer Programming
WADS '01 Proceedings of the 7th International Workshop on Algorithms and Data Structures
Cryptographic Primitives Based on Hard Learning Problems
CRYPTO '93 Proceedings of the 13th Annual International Cryptology Conference on Advances in Cryptology
DS '01 Proceedings of the 4th International Conference on Discovery Science
Variants of iterative learning
Theoretical Computer Science
Learning from examples with unspecified attribute values
Information and Computation
Exploiting random walks for learning
Information and Computation
Learning elementary formal systems with queries
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Advanced elementary formal systems
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Decision lists over regular patterns
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Effects of domain characteristics on instance-based learning algorithms
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Eighteenth national conference on Artificial intelligence
Guided inference of nested monotone Boolean functions
Information Sciences—Informatics and Computer Science: An International Journal
Machine Learning
Property testing in massive graphs
Handbook of massive data sets
A System for Building Intelligent Agents that Learn to Retrieve and Extract Information
User Modeling and User-Adapted Interaction
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
New degree bounds for polynomial threshold functions
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Identification of function distinguishable languages
Theoretical Computer Science
Email classification with co-training
CASCON '01 Proceedings of the 2001 conference of the Centre for Advanced Studies on Collaborative research
PAC learning of probability distributions over a discrete domain
Theoretical Computer Science
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Complexity in the case against accuracy estimation
Theoretical Computer Science
On the Efficiency of Noise-Tolerant PAC Algorithms Derived from Statistical Queries
Annals of Mathematics and Artificial Intelligence
Finding Essential Attributes from Binary Data
Annals of Mathematics and Artificial Intelligence
DNA-based algorithms for learning Boolean formulae
Natural Computing: an international journal
An introduction to boosting and leveraging
Advanced lectures on machine learning
The description logic handbook
Image Segmentation By Learning Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Programming by Demonstration Using Version Space Algebra
Machine Learning
On learning multicategory classification with sample queries
Information and Computation
Information Processing Letters
On using extended statistical queries to avoid membership queries
The Journal of Machine Learning Research
Pac-bayesian generalisation error bounds for gaussian process classification
The Journal of Machine Learning Research
On online learning of decision lists
The Journal of Machine Learning Research
On boosting with polynomially bounded distributions
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Optimally-smooth adaptive boosting and application to agnostic learning
The Journal of Machine Learning Research
Relational learning as search in a critical region
The Journal of Machine Learning Research
Learnability of quantified formulas
Theoretical Computer Science
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
The monotone theory for the PAC-model
Information and Computation
Approximation of Boolean Functions by Local Search
Computational Optimization and Applications
Efficient data reduction with EASE
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Speedup learning for repair-based search by identifying redundant steps
The Journal of Machine Learning Research
Introduction to the special issue on learning theory
The Journal of Machine Learning Research
Efficient algorithms for learning functions with bounded variation
Information and Computation
Number-theoretic constructions of efficient pseudo-random functions
Journal of the ACM (JACM)
The effectiveness of corpus-induced dependency grammars for post-processing speech
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
More efficient PAC-learning of DNF with membership queries under the uniform distribution
Journal of Computer and System Sciences
The Knowledge Engineering Review
Polynomial learnability and locality of formal grammars
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Discovering models of behavior for concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Theoretical Computer Science - Special issue: Algorithmic learning theory
Journal of Computer and System Sciences - STOC 2001
Applying learning algorithms to preference elicitation
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Feasible learnability of formal grammars and the theory of natural language acquisition
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
A learning algorithm for the longest common subsequence problem
Journal of Experimental Algorithmics (JEA)
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
PAC-learnability of Probabilistic Deterministic Finite State Automata
The Journal of Machine Learning Research
C4.5 competence map: a phase transition-inspired approach
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Improving optical Fourier pattern recognition by accommodating the missing information
Information Sciences: an International Journal - Special issue: Optics and information sciences
Learning intersections and thresholds of halfspaces
Journal of Computer and System Sciences - Special issue on FOCS 2002
An asymptotic statistical theory of polynomial kernel methods
Neural Computation
FloatBoost Learning and Statistical Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
On learning monotone DNF under product distributions
Information and Computation
Representing knowledge in learning systems by pseudo boolean functions
TARK '88 Proceedings of the 2nd conference on Theoretical aspects of reasoning about knowledge
Collaborative recommendation: A robustness analysis
ACM Transactions on Internet Technology (TOIT)
Formal language identification: query learning vs. gold-style learning
Information Processing Letters
Information Fusion Methods Based on Physical Laws
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning functions of k relevant variables
Journal of Computer and System Sciences - Special issue: STOC 2003
A New Fuzzy Support Vector Machine Based on the Weighted Margin
Neural Processing Letters
Some connections between learning and optimization
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Randomized Variable Elimination
The Journal of Machine Learning Research
Learning Local Transductions Is Hard
Journal of Logic, Language and Information
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Can user models be learned at all? Inherent problems in machine learning for user modelling
The Knowledge Engineering Review
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Learning nonsingular phylogenies and hidden Markov models
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Polynomial time learning of simple deterministic languages via queries and a representative sample
Theoretical Computer Science
Problem solving with insufficient resources
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Probabilistic Finite-State Machines-Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
A DNA-based memory with in vitro learning and associative recall
Natural Computing: an international journal
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Boosting textual compression in optimal linear time
Journal of the ACM (JACM)
Discovering thread interactions in a concurrent system
Journal of Systems and Software - Special issue: Software reverse engineering
Exploring learnability between exact and PAC
Journal of Computer and System Sciences - Special issue on COLT 2002
New lower bounds for statistical query learning
Journal of Computer and System Sciences - Special issue on COLT 2002
E-generalization using grammars
Artificial Intelligence
Agnostically Learning Halfspaces
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Error limiting reductions between classification tasks
ICML '05 Proceedings of the 22nd international conference on Machine learning
A Fixed-Distribution PAC Learning Theory for Neural FIR Models
Journal of Intelligent Information Systems
Single-Class Classification with Mapping Convergence
Machine Learning
Learning DNF from random walks
Journal of Computer and System Sciences - Special issue: Learning theory 2003
Dependency of context-based word sense disambiguation from representation and domain complexity
NAACL-ANLP-SSCNLPS '00 Proceedings of the 2000 NAACL-ANLP Workshop on Syntactic and semantic complexity in natural language processing systems - Volume 1
Learning in natural language: theory and algorithmic approaches
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Learning from a substructural perspective
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Improved Bounds on Quantum Learning Algorithms
Quantum Information Processing
On the Nonlearnability of a Single Spiking Neuron
Neural Computation
The VC Dimension for Mixtures of Binary Classifiers
Neural Computation
Discriminative Reranking for Natural Language Parsing
Computational Linguistics
Theoretical Computer Science
Can machine learning be secure?
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Hardness of approximate two-level logic minimization and PAC learning with membership queries
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Learning a circuit by injecting values
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
New developments in parsing technology
On learning embedded midbit functions
Theoretical Computer Science - Algorithmic learning theory(ALT 2002)
Maximizing agreements and coagnostic learning
Theoretical Computer Science - Algorithmic learning theory(ALT 2002)
Learning expressions and programs over monoids
Information and Computation
ICML '06 Proceedings of the 23rd international conference on Machine learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Experience-efficient learning in associative bandit problems
ICML '06 Proceedings of the 23rd international conference on Machine learning
Polynomial certificates for propositional classes
Information and Computation
Information extraction from structured documents using k-testable tree automaton inference
Data & Knowledge Engineering
Multi-scaling sampling: an adaptive sampling method for discovering approximate association rules
Journal of Computer Science and Technology
Learning and Education: A Continuing Frontier for AI
IEEE Intelligent Systems
Experiments with AdaBoost.RT, an improved boosting scheme for regression
Neural Computation
A connectionist computational model for epistemic and temporal reasoning
Neural Computation
Learning erasing pattern languages with queries
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
Learning from positive and unlabeled examples
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
Prediction-hardness of acyclic conjunctive queries
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
Connectionist computations of intuitionistic reasoning
Theoretical Computer Science
Simulation-Based Functional Test Generation for Embedded Processors
IEEE Transactions on Computers
Neural Processing Letters
Binary analysis and automated hot patching for Web-based applications
Information and Software Technology
Partially distribution-free learning of regular languages from positive samples
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
The theoretical analysis of FDA and applications
Pattern Recognition
A Real generalization of discrete AdaBoost
Artificial Intelligence
A Boolean measure of similarity
Discrete Applied Mathematics - Special issue: Discrete algorithms and optimization, in honor of professor Toshihide Ibaraki at his retirement from Kyoto University
On ordinal VC-dimension and some notions of complexity
Theoretical Computer Science - Algorithmic learning theory
From learning in the limit to stochastic finite learning
Theoretical Computer Science - Algorithmic learning theory
Learning a subclass of regular patterns in polynomial time
Theoretical Computer Science - Algorithmic learning theory
Capabilities of Thoughtful Machines
Fundamenta Informaticae
Data Mining and Knowledge Discovery
An algorithm based on counterfactuals for concept learning in the Semantic Web
Applied Intelligence
Intelligent Data Analysis
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
The Crystallizing Substochastic Sequential Machine Extractor: CrySSMEx
Neural Computation
Learning spam: simple techniques for freely-available software
ATEC '03 Proceedings of the annual conference on USENIX Annual Technical Conference
Learning linear PCA with convex semi-definite programming
Pattern Recognition
Pattern Recognition for Conditionally Independent Data
The Journal of Machine Learning Research
Noise Tolerant Variants of the Perceptron Algorithm
The Journal of Machine Learning Research
Separating Models of Learning from Correlated and Uncorrelated Data
The Journal of Machine Learning Research
Consistent Feature Selection for Pattern Recognition in Polynomial Time
The Journal of Machine Learning Research
Learning intersection-closed classes with signatures
Theoretical Computer Science
Logical analysis of data --- the vision of Peter L. Hammer
Annals of Mathematics and Artificial Intelligence
MASSP3: a system for predicting protein secondary structure
EURASIP Journal on Applied Signal Processing
Robust face detection in airports
EURASIP Journal on Applied Signal Processing
Rule quality for multiple-rule classifier: Empirical expertise and theoretical methodology
Intelligent Data Analysis
Quantum Algorithms for Learning and Testing Juntas
Quantum Information Processing
Unconditional lower bounds for learning intersections of halfspaces
Machine Learning
Some natural conditions on incremental learning
Information and Computation
A general comparison of language learning from examples and from queries
Theoretical Computer Science
Learning with errors in answers to membership queries
Journal of Computer and System Sciences
The complexity of properly learning simple concept classes
Journal of Computer and System Sciences
Learning intersections of halfspaces with a margin
Journal of Computer and System Sciences
An incremental learning framework for estimating signal controllability in unit-level verification
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Implicit niching in a learning classifier system: Nature's way
Evolutionary Computation
Aspects of discrete mathematics and probability in the theory of machine learning
Discrete Applied Mathematics
Learning curves for error minimum and maximum likelihood algorithms
Neural Computation
Neural Computation
Neural Computation
Vc dimension of an integrate-and-fire neuron model
Neural Computation
On learning perceptrons with binary weights
Neural Computation
Vapnik-chervonenkis dimension bounds for two-and three-layer networks
Neural Computation
Taming teams with mind changes
Journal of Computer and System Sciences
Learning indexed families of recursive languages from positive data: A survey
Theoretical Computer Science
Measuring teachability using variants of the teaching dimension
Theoretical Computer Science
iBoost: Boosting using an instance-based exponential weighting scheme
International Journal of Hybrid Intelligent Systems
Agnostically learning decision trees
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Evolvability from learning algorithms
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
On agnostic boosting and parity learning
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
A discriminative framework for clustering via similarity functions
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
A theory of learning with similarity functions
Machine Learning
Learning one-counter languages in polynomial time
SFCS '87 Proceedings of the 28th Annual Symposium on Foundations of Computer Science
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
SFCS '87 Proceedings of the 28th Annual Symposium on Foundations of Computer Science
Knows what it knows: a framework for self-aware learning
Proceedings of the 25th international conference on Machine learning
SVM optimization: inverse dependence on training set size
Proceedings of the 25th international conference on Machine learning
VC Theory of Large Margin Multi-Category Classifiers
The Journal of Machine Learning Research
Computational Complexity
Variations of the two-spiral task
Connection Science
Computational aspects of monotone dualization: A brief survey
Discrete Applied Mathematics
Boosting Descriptive ILP for Predictive Learning in Bioinformatics
Inductive Logic Programming
Separating Models of Learning with Faulty Teachers
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Parameterized Learnability of k-Juntas and Related Problems
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Addition and Deletion of Agent Memories to Realize Autonomous Decentralized Manufacturing Systems
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
VC Dimension Bounds for Analytic Algebraic Computations
COCOON '08 Proceedings of the 14th annual international conference on Computing and Combinatorics
Efficient Incremental Model for Learning Context-Free Grammars from Positive Structural Examples
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
APPROX '08 / RANDOM '08 Proceedings of the 11th international workshop, APPROX 2008, and 12th international workshop, RANDOM 2008 on Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques
Query Learning and Certificates in Lattices
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Learning Languages from Bounded Resources: The Case of the DFA and the Balls of Strings
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
On Learning Regular Expressions and Patterns Via Membership and Correction Queries
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
Polynomial Time Probabilistic Learning of a Subclass of Linear Languages with Queries
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
A graphical model for evolutionary optimization
Evolutionary Computation
THE QSM ALGORITHM AND ITS APPLICATION TO SOFTWARE BEHAVIOR MODEL INDUCTION
Applied Artificial Intelligence
A tamper-proof and lightweight authentication scheme
Pervasive and Mobile Computing
An analysis of model-based Interval Estimation for Markov Decision Processes
Journal of Computer and System Sciences
Journal of the ACM (JACM)
Learning a circuit by injecting values
Journal of Computer and System Sciences
Hardness of approximate two-level logic minimization and PAC learning with membership queries
Journal of Computer and System Sciences
Efficient learning algorithms yield circuit lower bounds
Journal of Computer and System Sciences
Cryptographic hardness for learning intersections of halfspaces
Journal of Computer and System Sciences
DS '08 Proceedings of the 11th International Conference on Discovery Science
Using domain-specific knowledge in generalization error bounds for support vector machine learning
Decision Support Systems
A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Property Testing: A Learning Theory Perspective
Foundations and Trends® in Machine Learning
A PSO Based Adaboost Approach to Object Detection
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Using a similarity measure for credible classification
Discrete Applied Mathematics
Detecting network intrusions using signal processing with query-based sampling filter
EURASIP Journal on Advances in Signal Processing - Special issue on signal processing applications in network intrusion detection systems
The complexity of ranking hypotheses in optimality theory
Computational Linguistics
Separating models of learning with faulty teachers
Theoretical Computer Science
Ensemble of classifiers for detecting network intrusion
Proceedings of the International Conference on Advances in Computing, Communication and Control
Disappearing Cryptography: Information Hiding: Steganography & Watermarking
Disappearing Cryptography: Information Hiding: Steganography & Watermarking
Intrinsic Geometries in Learning
Emerging Trends in Visual Computing
Proceedings of the forty-first annual ACM symposium on Theory of computing
On the complexity of differentially private data release: efficient algorithms and hardness results
Proceedings of the forty-first annual ACM symposium on Theory of computing
Searching for interacting features in subset selection
Intelligent Data Analysis
Novelty detection with application to data streams
Intelligent Data Analysis - Knowledge Discovery from Data Streams
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
A Real generalization of discrete AdaBoost
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Formal Grammars of Early Language
Languages: From Formal to Natural
Another look at indirect negative evidence
CACLA '09 Proceedings of the EACL 2009 Workshop on Cognitive Aspects of Computational Language Acquisition
Journal of Data and Information Quality (JDIQ)
Search bias, language bias and genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Syntactico-semantic learning of categorial grammars
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Probably Approximately Correct Search
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Journal of Artificial Intelligence Research
Dependency of context-based word sense disambiguation from representation and domain complexity
NLPComplexity '00 NAACL-ANLP 2000 Workshop: Syntactic and Semantic Complexity in Natural Language Processing Systems
A model of inductive bias learning
Journal of Artificial Intelligence Research
Tractable induction and classification in first order logic via stochastic matching
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Efficiency versus convergence of Boolean kernels for on-line learning algorithms
Journal of Artificial Intelligence Research
Active learning with multiple views
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
A formal framework for speedup learning from problems and solutions
Journal of Artificial Intelligence Research
Dynamic non-Bayesian decision making
Journal of Artificial Intelligence Research
Tractability of theory patching
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Pac-learning recursive logic programs: efficient algorithms
Journal of Artificial Intelligence Research
Pac-learning recursive logic programs: negative results
Journal of Artificial Intelligence Research
Efficient heuristic hypothesis ranking
Journal of Artificial Intelligence Research
Coping with uncertainty in map learning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Detecting and correcting errors of omission after explanation-based learning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
A critique of the valiant model
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Provably bounded optimal agents
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
On the hardness of approximate reasoning
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Learning disjunction of conjunctions
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Learning from partial observations
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A tighter error bound for decision tree learning using PAC learnability
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Application of ε -testers algorithms under sketch calculation model in robot navigation problem
ICS'09 Proceedings of the 13th WSEAS international conference on Systems
A program that acquires how to solve problems in mathematics
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
A Program that acquires how to execute statements
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Parameterized learnability of juntas
Theoretical Computer Science
SVMC: single-class classification with support vector machines
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A formalization of explanation-based macro-operator learning
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Inductive learning from good examples
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Learning nested concept classes with limited storage
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
The problem of induction and machine learning
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
A program that acquires how to solve problems in mathematics
WSEAS Transactions on Computers
Performance and efficiency of memetic pittsburgh learning classifier systems
Evolutionary Computation
Active learning for class probability estimation and ranking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Approximating pseudo-Boolean functions on non-uniform domains
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Extending classical planning to real-world execution with machine learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Learning to reason the non monotonic case
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Logical analysis of binary data with missing bits
Artificial Intelligence
E-generalization using grammars
Artificial Intelligence
Accurate and efficient processor performance prediction via regression tree based modeling
Journal of Systems Architecture: the EUROMICRO Journal
Efficient pseudorandom functions from the decisional linear assumption and weaker variants
Proceedings of the 16th ACM conference on Computer and communications security
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Ceteris Paribus preference elicitation with predictive guarantees
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Learning and Domain Adaptation
DS '09 Proceedings of the 12th International Conference on Discovery Science
A Dialectic Approach to Problem-Solving
DS '09 Proceedings of the 12th International Conference on Discovery Science
Some connections between learning and optimization
Discrete Applied Mathematics
Comparing learners for Boolean partitions: implications for morphological paradigms
CLAGI '09 Proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference
A discriminative model for semi-supervised learning
Journal of the ACM (JACM)
Fuzzy methods in machine learning and data mining: Status and prospects
Fuzzy Sets and Systems
Efficient learning of context-free grammars from positive structural examples
Information and Computation
Information and Computation
Learning expressions and programs over monoids
Information and Computation
Polynomial certificates for propositional classes
Information and Computation
The PAC-learnability of planning algorithms: Investigating simple planning domains
Information Sciences: an International Journal
Controlling the losing probability in a monotone game
Information Sciences: an International Journal
Application of Ɛ-testers algorithms under sketch and streaming calculation model in robot navigation
WSEAS Transactions on Computers
Algorithmic and Analysis Techniques in Property Testing
Foundations and Trends® in Theoretical Computer Science
Application of a generalization of russo's formula to learning from multiple random oracles
Combinatorics, Probability and Computing
Annals of Mathematics and Artificial Intelligence
Boosting by weighting critical and erroneous samples
Neurocomputing
A bibliographical study of grammatical inference
Pattern Recognition
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
The Journal of Machine Learning Research
Reinforcement Learning in Finite MDPs: PAC Analysis
The Journal of Machine Learning Research
Model Selection: Beyond the Bayesian/Frequentist Divide
The Journal of Machine Learning Research
Wise breeding GA via machine learning techniques for function optimization
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
"Poor man" vote with M-ary classifiers: application to iris recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Genetic programming with boosting for ambiguities in regression problems
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Tree adjoining grammars, language bias, and genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Extracting a simplified view of design functionality based on vector simulation
HVC'06 Proceedings of the 2nd international Haifa verification conference on Hardware and software, verification and testing
A characterization of strong learnability in the statistical query model
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
An empirical comparison of three boosting algorithms on real data sets with artificial class noise
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
A complete and tight average-case analysis of learning monomials
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
Universal distributions and time-bounded kolmogorov complexity
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
The applicability to ILP of results concerning the ordering of binomial populations
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Generalization error analysis for polynomial kernel methods: algebraic geometrical approach
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Learning rule representations from Boolean data
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Reliable learning: a theoretical framework
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
MAT learners for recognizable tree languages and tree series
Acta Cybernetica
Playing monotone games to understand learning behaviors
Theoretical Computer Science
A randomized algorithm for BBCSPs in the prover-verifier model
ICTAC'07 Proceedings of the 4th international conference on Theoretical aspects of computing
TTCN-3 quality engineering: using learning techniques to evaluate metric sets
SDL'07 Proceedings of the 13th international SDL Forum conference on Design for dependable systems
extraRelief: improving relief by efficient selection of instances
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Learning from a smarter teacher
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Non-standard inferences in description logics
Non-standard inferences in description logics
Probabilistic inductive logic programming
Probabilistic inductive logic programming
A fast face detection method based on improved sample selection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Learning Behaviors of Functions
Fundamenta Informaticae
Efficiency improvements in constructing pseudorandom generators from one-way functions
Proceedings of the forty-second ACM symposium on Theory of computing
Optimal bounds for sign-representing the intersection of two halfspaces by polynomials
Proceedings of the forty-second ACM symposium on Theory of computing
Efficiently learning mixtures of two Gaussians
Proceedings of the forty-second ACM symposium on Theory of computing
Partial observability and learnability
Artificial Intelligence
Learning conditional preference networks
Artificial Intelligence
International Journal of Intelligent Information and Database Systems
Learning and domain adaptation
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
An algebraic perspective on Boolean function learning
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
The geometry of quantum learning
Quantum Information Processing
Learning-based robot vision: principles and applications
Learning-based robot vision: principles and applications
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
Learning conjunctive concepts in structural domains
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Learning conjunctive concepts in structural domains
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
A connectionist framework for reasoning: reasoning with examples
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Myths and legends in learning classification rules
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Learning from textbook knowledge: a case study
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Rationality and its roles in reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Probably approximately correct learning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Analyses of instance-based learning algorithms
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Error-correcting output codes: a general method for improving multiclass inductive learning programs
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Symmetry as bias: rediscovering special relativity
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Oblivious PAC learning of concept hierarchies
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
A theory of unsupervised speedup learning
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Computing least common subsumers in description logics
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Cryptographic limitations on learning one-clause logic programs
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Pac-learning a restricted class of recursive logic programs
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Learnability in inductive logic programming: some basic results and techniques
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Learning from an approximate theory and noisy examples
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Recession segmentation: simpler online word segmentation using limited resources
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
A semi-supervised approach for reject inference in credit scoring using SVMs
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Computing minimal models by positively minimal disjuncts
JSAI-isAI'09 Proceedings of the 2009 international conference on New frontiers in artificial intelligence
Algorithms and theory of computation handbook
The practical assessment of test sets with inductive inference techniques
TAIC PART'10 Proceedings of the 5th international academic and industrial conference on Testing - practice and research techniques
A local search algorithm for grammatical inference
ICGI'10 Proceedings of the 10th international colloquium conference on Grammatical inference: theoretical results and applications
Distribution-free testing algorithms for monomials with a sublinear number of queries
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
On the hardness of learning intersections of two halfspaces
Journal of Computer and System Sciences
Autonomous hot patching for web-based applications
COMPSAC-W'05 Proceedings of the 29th annual international conference on Computer software and applications conference
Towards clausal discovery for stream mining
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
An improved lower bound on query complexity for quantum PAC learning
Information Processing Letters
Arithmetic Circuits: A survey of recent results and open questions
Foundations and Trends® in Theoretical Computer Science
Proceedings of the 38th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Rough set and ensemble learning based semi-supervised algorithm for text classification
Expert Systems with Applications: An International Journal
Discrete Applied Mathematics
Faster query answering in probabilistic databases using read-once functions
Proceedings of the 14th International Conference on Database Theory
A survey of recent trends in one class classification
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Differential learning leads to efficient neural network classifiers
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Learning to discover faulty spots in cDNA microarrays
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
PAC-Bayesian Analysis of Co-clustering and Beyond
The Journal of Machine Learning Research
Models of Cooperative Teaching and Learning
The Journal of Machine Learning Research
Purifying data by machine learning with certainty levels
Proceedings of the Third International Workshop on Reliability, Availability, and Security
SIAM Journal on Computing
Hardness of Reconstructing Multivariate Polynomials over Finite Fields
SIAM Journal on Computing
Learning read once functions using subcube parity queries
Computational Mathematics and Modeling
S-adaboost and pattern detection in complex environment
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
The bacterial strains characterization problem
Proceedings of the 2011 ACM Symposium on Applied Computing
PCPs and the hardness of generating private synthetic data
TCC'11 Proceedings of the 8th conference on Theory of cryptography
Proceedings of the forty-third annual ACM symposium on Theory of computing
Determination and the no-free-lunch paradox
Neural Computation
PAC learning and genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Formal and empirical grammatical inference
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts of ACL 2011
Dynamic construction of multilayer neural networks for classification
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Bio-inspired grammatical inference
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Approximations for explanations of inconsistency in partially known multi-context systems
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Quantum interpolation of polynomilas
Quantum Information & Computation
Regression conformal prediction with nearest neighbours
Journal of Artificial Intelligence Research
Head-on collision avoidance by knowledge exchange under RAF control of autonomous decentralized FMS
Transactions on computational collective intelligence III
An information theoretic framework for data mining
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards a bio-computational model of natural language learning
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Dynamic successive feed-forward neural network for learning fuzzy decision tree
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Exact learning algorithms, betting games, and circuit lower bounds
ICALP'11 Proceedings of the 38th international colloquim conference on Automata, languages and programming - Volume Part I
Learning first-order definite theories via object-based queries
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Synthesis of optimal switching logic for hybrid systems
EMSOFT '11 Proceedings of the ninth ACM international conference on Embedded software
On noise-tolerant learning of sparse parities and related problems
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Supervised learning and co-training
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Vote elicitation with probabilistic preference models: empirical estimation and cost tradeoffs
ADT'11 Proceedings of the Second international conference on Algorithmic decision theory
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Assessing test adequacy for black-box systems without specifications
ICTSS'11 Proceedings of the 23rd IFIP WG 6.1 international conference on Testing software and systems
SIAM Journal on Computing
Spectral norm in learning theory: some selected topics
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
On exact learning halfspaces with random consistent hypothesis oracle
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Towards a better understanding of incremental learning
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Smooth boosting using an information-based criterion
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Proceedings of the 3rd Innovations in Theoretical Computer Science Conference
PAC-Learning of markov models with hidden state
ECML'06 Proceedings of the 17th European conference on Machine Learning
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Email classification with co-training
Proceedings of the 2011 Conference of the Center for Advanced Studies on Collaborative Research
Private data release via learning thresholds
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Budgeted learning of nailve-bayes classifiers
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning attribute-efficiently with corrupt oracles
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Learning DNF by statistical and proper distance queries under the uniform distribution
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
PAC learning axis-aligned mixtures of gaussians with no separation assumption
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Exact learning composed classes with a small number of mistakes
COLT'06 Proceedings of the 19th annual conference on Learning Theory
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Improved lower bounds for learning intersections of halfspaces
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Efficient learning algorithms yield circuit lower bounds
COLT'06 Proceedings of the 19th annual conference on Learning Theory
On PAC learning algorithms for rich boolean function classes
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Nature inspiration for support vector machines
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Bounds on the sample complexity for private learning and private data release
TCC'10 Proceedings of the 7th international conference on Theory of Cryptography
On learning random DNF formulas under the uniform distribution
APPROX'05/RANDOM'05 Proceedings of the 8th international workshop on Approximation, Randomization and Combinatorial Optimization Problems, and Proceedings of the 9th international conference on Randamization and Computation: algorithms and techniques
Sampling ensembles for frequent patterns
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Mining data by query-based error-propagation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
A multi-agent system for protein secondary structure prediction
Transactions on Computational Systems Biology III
Learnability of bipartite ranking functions
COLT'05 Proceedings of the 18th annual conference on Learning Theory
A PAC-Style model for learning from labeled and unlabeled data
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Generalization error bounds using unlabeled data
COLT'05 Proceedings of the 18th annual conference on Learning Theory
On attribute efficient and non-adaptive learning of parities and DNF expressions
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Separating models of learning from correlated and uncorrelated data
COLT'05 Proceedings of the 18th annual conference on Learning Theory
On the number of random digits required in montecarlo integration of definable functions
MFCS'05 Proceedings of the 30th international conference on Mathematical Foundations of Computer Science
Some marginal learning algorithms for unsupervised problems
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Minimization, learning, and conformance testing of boolean programs
CONCUR'06 Proceedings of the 17th international conference on Concurrency Theory
The tenjinno machine translation competition
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
Data driven approaches to speech and language processing
Nonlinear Speech Modeling and Applications
Machine learning in a quantum world
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
The use of tail inequalities on the probable computational time of randomized search heuristics
Theoretical Computer Science
Algorithms for strategyproof classification
Artificial Intelligence
An intelligent dynamic MRI system for automatic nasal tumor detection
Advances in Fuzzy Systems - Special issue on Hybrid Biomedical Intelligent Systems
Quantum predictive learning and communication complexity with single input
Quantum Information & Computation
Minimum multiple characterization of biological data using partially defined boolean formulas
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Automatica (Journal of IFAC)
Journal of Computer and System Sciences
A complete characterization of statistical query learning with applications to evolvability
Journal of Computer and System Sciences
Proceedings of the 15th International Conference on Database Theory
An approach to guided learning of boolean functions
Mathematical and Computer Modelling: An International Journal
On the sysRatio and its critical point
Mathematical and Computer Modelling: An International Journal
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Recurrent networks for structured data - A unifying approach and its properties
Cognitive Systems Research
Computational complexity analysis of multi-objective genetic programming
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Towards a robust framework of network coordinate systems
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part I
Foundation of mining class-imbalanced data
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
V-MAX: tempered optimism for better PAC reinforcement learning
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Activized learning: transforming passive to active with improved label complexity
The Journal of Machine Learning Research
Does multi-clause learning help in real-world applications?
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Projection-Based PILP: computational learning theory with empirical results
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
PAC learnability of rough hypercuboid classifier
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Learning in the limit with lattice-structured hypothesis spaces
Theoretical Computer Science
Capabilities of Thoughtful Machines
Fundamenta Informaticae
Automatic Programming of Morphological Machines by PAC Learning
Fundamenta Informaticae
Classification of Unseen Examples under Uncertainty
Fundamenta Informaticae
Learning Via Queries With Teams And Anomalies
Fundamenta Informaticae
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
On the concept of software obfuscation in computer security
ISC'07 Proceedings of the 10th international conference on Information Security
Evolvability via the Fourier transform
Theoretical Computer Science
Diversity regularized ensemble pruning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ALLQBF solving by computational learning
ATVA'12 Proceedings of the 10th international conference on Automated Technology for Verification and Analysis
On the learnability of shuffle ideals
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Massive online teaching to bounded learners
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Learnability of DNF with representation-specific queries
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Characterizing the sample complexity of private learners
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Global reweighting and weight vector based strategy for multiclass boosting
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Quantum speed-up for unsupervised learning
Machine Learning
Presmoothing effects in Artificial Color image segmentation
Computer Vision and Image Understanding
A Computational Learning Theory of Active Object Recognition Under Uncertainty
International Journal of Computer Vision
On c-learnability in description logics
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Inductive Logic Programming and Embodied Agents: Possibilities and Limitations
International Journal of Agent Technologies and Systems
When homomorphism becomes a liability
TCC'13 Proceedings of the 10th theory of cryptography conference on Theory of Cryptography
Inter-training: Exploiting unlabeled data in multi-classifier systems
Knowledge-Based Systems
Learning and verifying quantified boolean queries by example
Proceedings of the 32nd symposium on Principles of database systems
Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues
Information Sciences: an International Journal
Learning queries for relational, semi-structured, and graph databases
Proceedings of the 2013 Sigmod/PODS Ph.D. symposium on PhD symposium
Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
On the complexity of trial and error
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
Statistical algorithms and a lower bound for detecting planted cliques
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
Bias-variance tradeoffs in program analysis
Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages
Learning regular expressions to template-based FAQ retrieval systems
Knowledge-Based Systems
ACM Transactions on Database Systems (TODS) - Invited papers issue
Exact Learning Algorithms, Betting Games, and Circuit Lower Bounds
ACM Transactions on Computation Theory (TOCT)
An empirical investigation of ceteris paribus learnability
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Fully corrective boosting with arbitrary loss and regularization
Neural Networks
Supervised learning and Co-training
Theoretical Computer Science
On the learnability of shuffle ideals
The Journal of Machine Learning Research
Algorithms and hardness results for parallel large margin learning
The Journal of Machine Learning Research
Quite a mess in my cookie jar!: leveraging machine learning to protect web authentication
Proceedings of the 23rd international conference on World wide web
Learning web-service task descriptions from traces
Web Intelligence and Agent Systems
Alan Turing and the development of Artificial Intelligence
AI Communications - ECAI 2012 Turing and Anniversary Track
A tour of machine learning: An AI perspective
AI Communications - ECAI 2012 Turing and Anniversary Track
Learning Behaviors of Functions with Teams
Fundamenta Informaticae
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