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)
On the necessity of Occam algorithms
STOC '90 Proceedings of the twenty-second annual ACM symposium on Theory of computing
Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Learning hierarchical rule sets
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The minimum consistent DFA problem cannot be approximated within any polynomial
Journal of the ACM (JACM)
A Partially Supervised Learning Algorithm for Linearly Separable Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition and Valiant's Learning Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning fallible finite state automata
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Choosing a reliable hypothesis
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
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers
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
Cryptographic limitations on learning Boolean formulae and finite automata
Journal of the ACM (JACM)
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
Journal of Computer and System Sciences
On the learnability of discrete distributions
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
The complexity of logic-based abduction
Journal of the ACM (JACM)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal prefetching via data compression
Journal of the ACM (JACM)
Noise-tolerant distribution-free learning of general geometric concepts
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
On learning width two branching programs (extended abstract)
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Learning Qualitative Models of Dynamic Systems
Machine Learning - special issue on inductive logic programming
Computational sample complexity
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Self bounding learning algorithms
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Noise-tolerant distribution-free learning of general geometric concepts
Journal of the ACM (JACM)
Axiomatic Approach to Feature Subset Selection Based on Relevance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parsimonious Least Norm Approximation
Computational Optimization and Applications
Computational sample complexity and attribute-efficient learning
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Exact Minimization of Binary Decision Diagrams Using Implicit Techniques
IEEE Transactions on Computers
Machine Learning
What do Constructive Learners Really Learn?
Artificial Intelligence Review
Data selection for support vector machine classifiers
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Feature selection in unsupervised learning via evolutionary search
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Sublinear time approximate clustering
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
DCG induction using MDL and parsed corpora
Learning language in logic
Decision tree approximations of Boolean functions
Theoretical Computer Science
The MIN PFS problem and piecewise linear model estimation
Discrete Applied Mathematics - Special issue: Third ALIO-EURO meeting on applied combinatorial optimization
Using computational learning strategies as a tool for combinatorial optimization
Annals of Mathematics and Artificial Intelligence
Mathematical Programming in Data Mining
Data Mining and Knowledge Discovery
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Efficient Algorithms for the Inference of Minimum Size DFAs
Machine Learning
R-MINI: An Iterative Approach for Generating Minimal Rules from Examples
IEEE Transactions on Knowledge and Data Engineering
Occam Algorithms for Computing Visual Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Processing Letters
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
How to Automate Neural Net Based Learning
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Approximations by OBDDs and the Variable Ordering Problem
ICAL '99 Proceedings of the 26th 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
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
Proclaiming Dictators and Juntas or Testing Boolean Formulae
APPROX '01/RANDOM '01 Proceedings of the 4th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems and 5th International Workshop on Randomization and Approximation Techniques in Computer Science: Approximation, Randomization and Combinatorial Optimization
The VC-Dimension of Subclasses of Pattern
ALT '99 Proceedings of the 10th 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
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Learning theory and language modeling
Exploring artificial intelligence in the new millennium
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Finding Essential Attributes from Binary Data
Annals of Mathematics and Artificial Intelligence
An introduction to boosting and leveraging
Advanced lectures on machine learning
Programming by Demonstration Using Version Space Algebra
Machine Learning
On online learning of decision lists
The Journal of Machine Learning Research
The Journal of Machine Learning Research
On the proper learning of axis-parallel concepts
The Journal of Machine Learning Research
The disputed federalist papers: SVM feature selection via concave minimization
Proceedings of the 2003 conference on Diversity in computing
Learning Multidimensional Signal Processing
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Preference Elicitation and Query Learning
The Journal of Machine Learning Research
Lookahead-based algorithms for anytime induction of decision trees
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning functions of k relevant variables
Journal of Computer and System Sciences - Special issue: STOC 2003
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Pareto-optimal patterns in logical analysis of data
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees
The Journal of Machine Learning Research
Interruptible anytime algorithms for iterative improvement of decision trees
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Exploring learnability between exact and PAC
Journal of Computer and System Sciences - Special issue on COLT 2002
On the influence of the variable ordering for algorithmic learning using OBDDs
Information and Computation
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
Maximizing agreements and coagnostic learning
Theoretical Computer Science - Algorithmic learning theory(ALT 2002)
Theoretical Computer Science
Evolutionary concept learning in first order logic: an overview
AI Communications
ICML '06 Proceedings of the 23rd international conference on Machine learning
Estimating relatedness via data compression
ICML '06 Proceedings of the 23rd international conference on Machine learning
How boosting the margin can also boost classifier complexity
ICML '06 Proceedings of the 23rd international conference on Machine learning
Learning sparse metrics via linear programming
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Artificial Intelligence in Medicine
Learning Horn Expressions with LOGAN-H
The Journal of Machine Learning Research
Anytime Learning of Decision Trees
The Journal of Machine Learning Research
Sample compression bounds for decision trees
Proceedings of the 24th international conference on Machine learning
Evolutionary model selection in unsupervised learning
Intelligent Data Analysis
The complexity of properly learning simple concept classes
Journal of Computer and System Sciences
Balancing accuracy and parsimony in genetic programming
Evolutionary Computation
The lack of a priori distinctions between learning algorithms
Neural Computation
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
SFCS '87 Proceedings of the 28th Annual Symposium on Foundations of Computer Science
Parameterized Learnability of k-Juntas and Related Problems
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Journal of Computer and System Sciences
Property Testing: A Learning Theory Perspective
Foundations and Trends® in Machine Learning
MILP approach to pattern generation in logical analysis of data
Discrete Applied Mathematics
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Any time induction of decision trees: an iterative improvement approach
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Journal of Artificial Intelligence Research
Performance prediction for exponential language models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Anytime induction of low-cost, low-error classifiers: a sampling-based approach
Journal of Artificial Intelligence Research
Further experimental evidence against the utility of Occam's razor
Journal of Artificial Intelligence Research
Learning DNF by decision trees
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
Occam's razor just got sharper
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Feature selection and kernel design via linear programming
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Learning from partial observations
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Parameterized learnability of juntas
Theoretical Computer Science
Empirical bias for version space
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
Oversearching and layered search in empirical learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Logical analysis of binary data with missing bits
Artificial Intelligence
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
Pareto-optimal patterns in logical analysis of data
Discrete Applied Mathematics
Information and Computation
On the influence of the variable ordering for algorithmic learning using OBDDs
Information and Computation
Inference of regular languages using state merging algorithms with search
Pattern Recognition
COLT'07 Proceedings of the 20th annual conference on Learning theory
Partial observability and learnability
Artificial Intelligence
Myths and legends in learning classification rules
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
What should be minimized in a decision tree?
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
Learning with many irrelevant features
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
A theory of unsupervised speedup learning
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Version spaces without boundary sets
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Algorithms and theory of computation handbook
The classification game: complexity regularization through interaction
COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Testing by implicit learning: a brief survey
Property testing
Testing by implicit learning: a brief survey
Property testing
Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
SIAM Journal on Computing
Dominance detection in meetings using easily obtainable features
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
From relational databases to belief networks
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Learning juntas in the presence of noise
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
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
Generality is predictive of prediction accuracy
Data Mining
Qualitative inference in possibilistic option decision trees
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Proceedings of the 15th International Conference on Database Theory
Compact MILP models for optimal and Pareto-optimal LAD patterns
Discrete Applied Mathematics
Does multi-clause learning help in real-world applications?
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
The complexity of Euler's integer partition theorem
Theoretical Computer Science
When does greedy learning of relevant attributes succeed?: a fourier-based characterization
COCOON'07 Proceedings of the 13th annual international conference on Computing and Combinatorics
Massive online teaching to bounded learners
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Quantum adiabatic machine learning
Quantum Information Processing
An evolutionary data-conscious artificial immune recognition system
Proceedings of the 15th annual conference on Genetic and evolutionary computation
On the doubt about margin explanation of boosting
Artificial Intelligence
ACM Transactions on Database Systems (TODS) - Invited papers issue
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