Scale-sensitive dimensions, uniform convergence, and learnability
Journal of the ACM (JACM)
A PAC analysis of a Bayesian estimator
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Nonparametric Time Series Prediction Through Adaptive ModelSelection
Machine Learning
Enlarging the Margins in Perceptron Decision Trees
Machine Learning
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
Smooth Boosting and Learning with Malicious Noise
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European 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
RBF neural networks for classification using new kernel functions
Second international workshop on Intelligent systems design and application
Multiple-Instance Learning of Real-Valued Geometric Patterns
Annals of Mathematics and Artificial Intelligence
RBF neural networks for classification using new Kernel functions
Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications
Smooth boosting and learning with malicious noise
The Journal of Machine Learning Research
Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks
Neural Computation
VC Theory of Large Margin Multi-Category Classifiers
The Journal of Machine Learning Research
A graphical model for evolutionary optimization
Evolutionary Computation
New bounds on classical and quantum one-way communication complexity
Theoretical Computer Science
Universal ε-approximators for integrals
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Comparing distributions and shapes using the kernel distance
Proceedings of the twenty-seventh annual symposium on Computational geometry
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
Data reduction for weighted and outlier-resistant clustering
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Learnability of bipartite ranking functions
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Learnability beyond uniform convergence
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
A Computational Learning Theory of Active Object Recognition Under Uncertainty
International Journal of Computer Vision
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