Kernel-dependent support vector error bounds

The Nature of Statistical Learning Theory

1995 • 38,742 citations

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

1998 • 7,862 citations

New Support Vector Algorithms

2000 • 2,715 citations

Extracting support data for a given task

1995 • 555 citations

Structural risk minimization over data-dependent hierarchies

1998 • 536 citations

Efficient distribution-free learning of probabilistic concepts

1994 • 388 citations

Entropy, Compactness and the Approximation of Operators

1990 • 382 citations

Scale-sensitive dimensions, uniform convergence, and learnability

1997 • 341 citations

Generalization Performance of Support Vector Machines and Other Pattern Classifiers

1998 • 287 citations

Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators

2001 • 174 citations

Shrinking the Tube: A New Support Vector Regression Algorithm

1998 • 171 citations

Generalization Bounds via Eigenvalues of the Gram matrix

1999 • 42 citations

Generalization Performance of Classifiers in Terms of Observed Covering Numbers

1999 • 22 citations