New Support Vector Algorithms

The Nature of Statistical Learning Theory

1995 • 38,742 citations

Support-vector networks

1995 • 35,844 citations

Untitled

1995 • 29,657 citations

Matrix Analysis

1985 • 23,473 citations

Untitled

1998 • 16,227 citations

Nonlinear Programming

1995 • 11,403 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

Estimating the Support of a High-Dimensional Distribution

2001 • 5,344 citations

Data mining and knowledge discovery: making sense out of data

1996 • 4,769 citations

An introduction to kernel-based learning algorithms

2001 • 3,454 citations

A TUTORIAL ON SUPPORT VECTOR MACHINES FOR PATTERN RECOGNITION, DATA MINING AND KNOWLEDGE DISCOVERY

1998 • 3,309 citations

Estimation of Dependences Based on Empirical Data

2006 • 2,270 citations

Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning

1964 • 1,508 citations

Neural Network Learning: Theoretical Foundations

1999 • 1,444 citations

Comparing support vector machines with Gaussian kernels to radial basis function classifiers

1997 • 1,358 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

Online Learning with Kernels

2004 • 1,022 citations

Predicting time series with support vector machines

1997 • 940 citations

Network information criterion-determining the number of hidden units for an artificial neural network model

1994 • 644 citations

The connection between regularization operators and support vector kernels

1998 • 630 citations

Support vector learning

1997 • 580 citations

Extracting support data for a given task

1995 • 555 citations

Structural risk minimization over data-dependent hierarchies

1998 • 536 citations

An Equivalence Between Sparse Approximation and Support Vector Machines

1998 • 507 citations

Training v-Support Vector Classifiers: Theory and Algorithms

2001 • 490 citations

Support Vector Machines, Reproducing Kernel Hilbert Spaces, and Randomized GACV

1998 • 300 citations

On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion

1998 • 290 citations

On the convergence of the decomposition method for support vector machines

2001 • 251 citations

Learning in Neural Networks: Theoretical Foundations

1999 • 249 citations

Support Vector Machines for Dynamic Reconstruction of a Chaotic System

1998 • 222 citations

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

2001 • 174 citations

Using support vector machines for time series prediction

1999 • 146 citations

Support Vector Regression with Automatic Accuracy Control

1998 • 126 citations

Reducing the Run-time Complexity in Support Vector Machines

1998 • 125 citations

Support Vector Regression with ANOVA Decomposition Kernels

1998 • 125 citations

Asymptotically Optimal Choice of ε-Loss for Support Vector Machines

1998 • 113 citations

Support Vector Machines for Quality Monitoring in a Plastic Injection Molding Process

2005 • 110 citations

From Statistics to Neural Networks

1994 • 108 citations

Formulations of Support Vector Machines: A Note from an Optimization Point of View

2001 • 100 citations

Linear dependency between Σ and the input noise in Σ-support vector regression

2003 • 92 citations

On the generalization of soft margin algorithms

2002 • 83 citations

Semiparametric Support Vector and Linear Programming Machines

1998 • 81 citations

Nonparametric estimation of residual variance revisited

1993 • 58 citations

Margin Distribution Bounds on Generalization

1999 • 39 citations

Regularized Principal Manifolds

1999 • 35 citations

Kernel-dependent support vector error bounds

1999 • 33 citations

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces

2001 • 25 citations

From Regression to Classification in Support Vector Machines

1998 • 24 citations

Robust identification of non-linear dynamic systems using support vector machine

2006 • 22 citations

From Regression to Classication in Support Vector Machines

1999 • 4 citations

Parametric Statistical Estimation with Artificial Neural Networks: A Condensed Discussion

1994 • 3 citations