Cross-validation for binary classification by real-valued functions: theoretical analysis
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Covering numbers for support vector machines
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Model complexity control and statisticallearning theory
Natural Computing: an international journal
Learning Changing Concepts by Exploiting the Structure of Change
Machine Learning
Linear Programming Boosting via Column Generation
Machine Learning
The Relaxed Online Maximum Margin Algorithm
Machine Learning
Boosting Methods for Regression
Machine Learning
Metric-Based Methods for Adaptive Model Selection and Regularization
Machine Learning
Neural networks with local receptive fields and superlinear VC Dimension
Neural Computation
Training a single sigmoidal neuron is hard
Neural Computation
Neural Computation
VC-Dimension of a Context-Dependent Perceptron
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
Mathematical Modelling of Generalization
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Product Unit Neural Networks with Constant Depth and Superlinear VC Dimension
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Complexity of Learning for Networks of Spiking Neurons with Nonlinear Synaptic Interactions
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
On the Generalization Ability of Recurrent Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Top-Down Decision Tree Boosting and Its Applications
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Radial Basis Function Neural Networks Have Superlinear VC Dimension
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
On Agnostic Learning with {0, *, 1}-Valued and Real-Valued Hypotheses
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Data-Dependent Margin-Based Generalization Bounds for Classification
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Geometric Methods in the Analysis of Glivenko-Cantelli Classes
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European 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
Learning Relatively Small Classes
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
The Consistency of Greedy Algorithms for Classification
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
PAC Bounds for Multi-armed Bandit and Markov Decision Processes
COLT '02 Proceedings of the 15th Annual Conference on Computational 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
Entropy, Combinatorial Dimensions and Random Averages
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Descartes' rule of signs for radial basis function neural networks
Neural Computation
Machine Learning
A few notes on statistical learning theory
Advanced lectures on machine learning
An introduction to boosting and leveraging
Advanced lectures on machine learning
On learning multicategory classification with sample queries
Information and Computation
Reduced discrete-event simulation models for medium-term production scheduling
Systems Analysis Modelling Simulation
Covering number bounds of certain regularized linear function classes
The Journal of Machine Learning Research
A new approximate maximal margin classification algorithm
The Journal of Machine Learning Research
Data-dependent margin-based generalization bounds for classification
The Journal of Machine Learning Research
Rademacher and gaussian complexities: risk bounds and structural results
The Journal of Machine Learning Research
Greedy algorithms for classification—consistency, convergence rates, and adaptivity
The Journal of Machine Learning Research
Efficient algorithms for learning functions with bounded variation
Information and Computation
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
A Geometric Approach to Multi-Criterion Reinforcement Learning
The Journal of Machine Learning Research
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
The Journal of Machine Learning Research
Some Dichotomy Theorems for Neural Learning Problems
The Journal of Machine Learning Research
Attacks and risk analysis for hardware supported software copy protection systems
Proceedings of the 4th ACM workshop on Digital rights management
Information Fusion Methods Based on Physical Laws
IEEE Transactions on Pattern Analysis and Machine Intelligence
On data classification by iterative linear partitioning
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Some connections between learning and optimization
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
On approximating the depth and related problems
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Mechanism Design via Machine Learning
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Finite time bounds for sampling based fitted value iteration
ICML '05 Proceedings of the 22nd international conference on Machine learning
SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming
Neural Computation
On the Nonlearnability of a Single Spiking Neuron
Neural Computation
Learning from revealed preference
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
New developments in parsing technology
Neural Computation
Constructive approximate interpolation by neural networks
Journal of Computational and Applied Mathematics
ICML '06 Proceedings of the 23rd international conference on Machine learning
On a theory of learning with similarity functions
ICML '06 Proceedings of the 23rd international conference on Machine learning
Approximation by neural networks and learning theory
Journal of Complexity - Special issue: Algorithms and complexity for continuous problems Schloss Dagstuhl, Germany, September 2004
Theoretical Computer Science - Computing and combinatorics
Multi-class pattern classification using neural networks
Pattern Recognition
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
Guest editorial: Learning theory
Machine Learning
A cognitive approach for agent-based personalized recommendation
Knowledge-Based Systems
On the generalization error of fixed combinations of classifiers
Journal of Computer and System Sciences
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results
The Journal of Machine Learning Research
Sample compression bounds for decision trees
Proceedings of the 24th international conference on Machine learning
Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets
Discrete Applied Mathematics
Mechanism design, machine learning, and pricing problems
ACM SIGecom Exchanges
On the complexity of constrained VC-classes
Discrete Applied Mathematics
Aspects of discrete mathematics and probability in the theory of machine learning
Discrete Applied Mathematics
A learning theory approach to non-interactive database privacy
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
BIW concept design in virtual testing lab applying computation grid network
CHINA HPC '07 Proceedings of the 2007 Asian technology information program's (ATIP's) 3rd workshop on High performance computing in China: solution approaches to impediments for high performance computing
A theory of learning with similarity functions
Machine Learning
On multi-view active learning and the combination with semi-supervised learning
Proceedings of the 25th international conference on Machine learning
VC Theory of Large Margin Multi-Category Classifiers
The Journal of Machine Learning Research
Finite-Time Bounds for Fitted Value Iteration
The Journal of Machine Learning Research
Learning Similarity with Operator-valued Large-margin Classifiers
The Journal of Machine Learning Research
Variations of the two-spiral task
Connection Science
Derivative reproducing properties for kernel methods in learning theory
Journal of Computational and Applied Mathematics
Constrained versions of Sauer's lemma
Discrete Applied Mathematics
Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Generalization Bounds for Some Ordinal Regression Algorithms
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
A Uniform Lower Error Bound for Half-Space Learning
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Learning from Multiple Sources
The Journal of Machine Learning Research
On the complexity of binary samples
Annals of Mathematics and Artificial Intelligence
Learning with sample dependent hypothesis spaces
Computers & Mathematics with Applications
Reducing mechanism design to algorithm design via machine learning
Journal of Computer and System Sciences
Journal of Computer and System Sciences
Exploring Margin Maximization for Biometric Score Fusion
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Using a similarity measure for credible classification
Discrete Applied Mathematics
Transfer bounds for linear feature learning
Machine Learning
Using the doubling dimension to analyze the generalization of learning algorithms
Journal of Computer and System Sciences
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Towards a Linear Combination of Dichotomizers by Margin Maximization
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
A model of inductive bias learning
Journal of Artificial Intelligence Research
Learning coordination classifiers
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning and inference over constrained output
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Maximal width learning of binary functions
Theoretical Computer Science
On data classification by iterative linear partitioning
Discrete Applied Mathematics
Some connections between learning and optimization
Discrete Applied Mathematics
Approximation by neural networks and learning theory
Journal of Complexity - Special issue: Algorithms and complexity for continuous problems Schloss Dagstuhl, Germany, September 2004
Constructive approximate interpolation by neural networks
Journal of Computational and Applied Mathematics
Robustness and Regularization of Support Vector Machines
The Journal of Machine Learning Research
Contextual modeling using context-dependent feedforward neural nets
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
COLT'07 Proceedings of the 20th annual conference on Learning theory
Shape functional optimization with restrictions boosted with machine learning techniques
Journal of Computational and Applied Mathematics
On the Foundations of Noise-free Selective Classification
The Journal of Machine Learning Research
Indexability, concentration, and VC theory
Proceedings of the Third International Conference on SImilarity Search and APplications
Rademacher chaos complexities for learning the kernel problem
Neural Computation
Combinatorial shell bounds for generalization ability
Pattern Recognition and Image Analysis
Tensor-based locally maximum margin classifier for image and video classification
Computer Vision and Image Understanding
Learnability, Stability and Uniform Convergence
The Journal of Machine Learning Research
Maximal Discrepancy for Support Vector Machines
Neurocomputing
Proceedings of the forty-third annual ACM symposium on Theory of computing
Proceedings of the Fourth International Conference on SImilarity Search and APplications
Full length article: Concentration estimates for the moving least-square method in learning theory
Journal of Approximation Theory
Learning a classifier when the labeling is known
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Estimating the class posterior probabilities in protein secondary structure prediction
PRIB'11 Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics
The Sample Complexity of Dictionary Learning
The Journal of Machine Learning Research
A combinatorial approach to hypothesis similarity in generalization bounds
Pattern Recognition and Image Analysis
(Agnostic) PAC learning concepts in higher-order logic
ECML'06 Proceedings of the 17th European conference on Machine Learning
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
PAC-learnability of probabilistic deterministic finite state automata in terms of variation distance
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Learning bounds for support vector machines with learned kernels
COLT'06 Proceedings of the 19th annual conference on Learning Theory
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Robust cutpoints in the logical analysis of numerical data
Discrete Applied Mathematics
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
Learnability of bipartite ranking functions
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Generalization behaviour of alkemic decision trees
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Predicate selection for structural decision trees
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Nonlinear function learning by the normalized radial basis function networks
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Active learning via perfect selective classification
The Journal of Machine Learning Research
Generalization error bounds for the logical analysis of data
Discrete Applied Mathematics
Optimal social choice functions: a utilitarian view
Proceedings of the 13th ACM Conference on Electronic Commerce
Sample complexity of linear learning machines with different restrictions over weights
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Activized learning: transforming passive to active with improved label complexity
The Journal of Machine Learning Research
Analysis of a multi-category classifier
Discrete Applied Mathematics
Cascading discriminant and generative models for protein secondary structure prediction
PRIB'12 Proceedings of the 7th IAPR international conference on Pattern Recognition in Bioinformatics
Concentration estimates for learning with unbounded sampling
Advances in Computational Mathematics
A learning theory approach to noninteractive database privacy
Journal of the ACM (JACM)
Range counting coresets for uncertain data
Proceedings of the twenty-ninth annual symposium on Computational geometry
Learning theory approach to minimum error entropy criterion
The Journal of Machine Learning Research
Multi-instance learning with any hypothesis class
The Journal of Machine Learning Research
Machine learning with operational costs
The Journal of Machine Learning Research
Distribution-dependent sample complexity of large margin learning
The Journal of Machine Learning Research
On a method for constructing ensembles of regression models
Automation and Remote Control
Learning bounds via sample width for classifiers on finite metric spaces
Theoretical Computer Science
| Hi-index | 0.01 |