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Statistical Learning Theory
https://doi.org/10.1142/9789812796851_0014Cited by:8 (Source: Crossref)
Abstract:
The following sections are included:
Learning and Regularisation
Dimensionality Problems in Learning
Learning Functions and Complexity
Approaches to Complexity Control
Vapnik's Statistical Learning Theory
Consistency and Convergence of ERM
VC-Dimension
Structural Risk Minimisation
Support Vector Learning Machines
Fundamental Ideas
Hyperplane for Optimal Linear Separability
Optimal Hyperplane for Nonseparable Data
Pattern Recognition SVM Design
Summary of SVM Learning Method
References
