Support Vector Machines

Support Vector Machines:

'via Blog this'

Advantages
Comparison with Artificial Neural Networks
Bagging
Bibliographies
Books
Classification
Comparisons with other techniques
Convexity
Disadvantages
Domain Knowledge
Duality
Feature Selection

Financial Applications
Glossary
Gram Matrix
Heuristics
Hilbert Space
History
Optimal Separating Hyperplanes
Implementation
Introduction
Journals
Kernels
Key Features

Karush-Kuhn-Tucker conditions
Lagrangian
Learnability
Links
Local
Mailing Lists
Mercer's Condition
Model Selection
Newsgroups
Norms
nu
PAC Learning

Parameters
People
Performance
Quadratic Programming
Regression
Regularization
Statistical Learning Theory
Software
Structural Risk Minimization
Survey
Top 100 Publications
Training
Tutorials
VC Dimension