Kernel Methods for Pattern Analysis

Statistical Learning Theory

1999 • 27,709 citations

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

1997 • 18,426 citations

Probability Inequalities for sums of Bounded Random Variables

1994 • 7,059 citations

An Introduction to Support Vector Machines

2000 • 4,254 citations

On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities

2015 • 3,217 citations

Boosting the margin: a new explanation for the effectiveness of voting methods

1998 • 2,338 citations

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

2001 • 2,164 citations

An Introduction to Computational Learning Theory

1994 • 1,752 citations

On the method of bounded differences

1989 • 1,506 citations

Neural Network Learning: Theoretical Foundations

1999 • 1,444 citations

Probability in Banach Spaces: Isoperimetry and Processes

1991 • 1,413 citations

The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network

1998 • 1,189 citations

Weighted sums of certain dependent random variables

1967 • 1,139 citations

Structural risk minimization over data-dependent hierarchies

1998 • 536 citations

New concentration inequalities in product spaces

1996 • 532 citations

Scale-sensitive dimensions, uniform convergence, and learnability

1997 • 341 citations

Generalization Performance of Support Vector Machines and Other Pattern Classifiers

1998 • 287 citations

Rademacher Processes and Bounding the Risk of Function Learning

2000 • 211 citations

A sharp concentration inequality with applications

2000 • 190 citations

A result of Vapnik with applications

1993 • 86 citations

On the generalization of soft margin algorithms

2002 • 83 citations

PAC Bayes and Margins

2003 • 65 citations

On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum

2002 • 40 citations

Deleted Work

1955 • 0 citations