Ebook: The Nature of Statistical Learning Theory
Author: Vladimir N. Vapnik (auth.)
- Tags: Probability Theory and Stochastic Processes, Statistics general, Artificial Intelligence (incl. Robotics)
- Year: 1995
- Publisher: Springer New York
- Edition: 1st
- Language: English
- pdf
Content:
Front Matter....Pages i-xv
Introduction: Four Periods in the Research of the Learning Problem....Pages 1-14
Setting of the Learning Problem....Pages 15-32
Consistency of Learning Processes....Pages 33-64
Bounds on the Rate of Convergence of Learning Processes....Pages 65-87
Controlling the Generalization Ability of Learning Processes....Pages 89-118
Constructing Learning Algorithms....Pages 119-166
Conclusion: What is Important in Learning Theory?....Pages 167-175
Back Matter....Pages 177-188
Content:
Front Matter....Pages i-xv
Introduction: Four Periods in the Research of the Learning Problem....Pages 1-14
Setting of the Learning Problem....Pages 15-32
Consistency of Learning Processes....Pages 33-64
Bounds on the Rate of Convergence of Learning Processes....Pages 65-87
Controlling the Generalization Ability of Learning Processes....Pages 89-118
Constructing Learning Algorithms....Pages 119-166
Conclusion: What is Important in Learning Theory?....Pages 167-175
Back Matter....Pages 177-188
....
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