4.7 Article

Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Clipping algorithms for solving the nearest point problem over reduced convex hulls

Jorge Lopez et al.

PATTERN RECOGNITION (2011)

Article Computer Science, Artificial Intelligence

Global convergence of SMO algorithm for support vector regression

Norikazu Takahashi et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)

Article Computer Science, Artificial Intelligence

A study on SMO-type decomposition methods for support vector machines

Pai-Hsuen Chen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)

Article Computer Science, Artificial Intelligence

Rigorous proof of termination of SMO algorithm for support vector machines

N Takahashi et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2005)

Review Computer Science, Theory & Methods

A tutorial on support vector regression

AJ Smola et al.

STATISTICS AND COMPUTING (2004)

Article Computer Science, Artificial Intelligence

Uniqueness theorems for kernel methods

CJC Burges et al.

NEUROCOMPUTING (2003)

Article Computer Science, Artificial Intelligence

Convergence of a generalized SMO algorithm for SVM classifier design

SS Keerthi et al.

MACHINE LEARNING (2002)

Article Computer Science, Artificial Intelligence

Efficient SVM regression training with SMO

GW Flake et al.

MACHINE LEARNING (2002)

Article Computer Science, Artificial Intelligence

On the convergence of the decomposition method for support vector machines

CJ Lin

IEEE TRANSACTIONS ON NEURAL NETWORKS (2001)

Article Computer Science, Artificial Intelligence

Estimating the support of a high-dimensional distribution

B Schölkopf et al.

NEURAL COMPUTATION (2001)

Article Computer Science, Artificial Intelligence

Improvements to Platt's SMO algorithm for SVM classifier design

SS Keerthi et al.

NEURAL COMPUTATION (2001)

Article Computer Science, Artificial Intelligence

Improvements to the SMO algorithm for SVM regression

SK Shevade et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2000)