An overview of statistical learning theory

The Nature of Statistical Learning Theory

1995 • 38,742 citations

Support-vector networks

1995 • 35,844 citations

Untitled

1995 • 29,657 citations

Statistical Learning Theory

1999 • 27,709 citations

A training algorithm for optimal margin classifiers

1992 • 11,054 citations

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

1998 • 7,862 citations

Advances in kernel methods: support vector learning

1999 • 5,756 citations

Spline Models for Observational Data.

1991 • 5,272 citations

Spline Models for Observational Data

1990 • 3,507 citations

A Probabilistic Theory of Pattern Recognition

1996 • 3,343 citations

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

2015 • 3,217 citations

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

1971 • 2,313 citations

Learnability and the Vapnik-Chervonenkis dimension

1989 • 1,855 citations

Regularization Theory and Neural Networks Architectures

1995 • 1,326 citations

The connection between regularization operators and support vector kernels

1998 • 630 citations

Structural risk minimization over data-dependent hierarchies

1998 • 536 citations

An Equivalence Between Sparse Approximation and Support Vector Machines

1998 • 507 citations

Simplified support vector decision rules

1996 • 441 citations

Devroye, L., Gyorfi, L. and Lugosi, G. : A Probabilistic Theory of Pattern Recognition, Springer (1996).

1997 • 360 citations

A Theory of Learning and Generalization

1997 • 352 citations

Scale-sensitive dimensions, uniform convergence, and learnability

1997 • 341 citations

Generalization Performance of Support Vector Machines and Other Pattern Classifiers

1998 • 287 citations

Geometry and Invariance in Kernel Based Methods

1998 • 240 citations

Necessary and Sufficient Conditions for the Uniform Convergence of Means to their Expectations

1982 • 233 citations

Learning Process in an Asymmetric Threshold Network

1986 • 135 citations

Fat-shattering and the learnability of real-valued functions

1994 • 125 citations

Learning processes in an asymmetric threshold network

1986 • 82 citations

Fat-Shattering and the Learnability of Real-Valued Functions

1996 • 52 citations

The Glivenko-Cantelli problem, ten years later

1996 • 52 citations

On the Annealed VC Entropy for Margin Classifiers: A Statistical Mechanics Study

1998 • 4 citations