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The Nature of Statistical Learning Theory
other
Author(s):
Vladimir N. Vapnik
Publication date
(Print):
1995
Publisher:
Springer New York
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Related collections
Numerical Algebra, Matrix Theory, Differential-Algebraic Equations, and Control Theory
Author and book information
Book
ISBN (Print):
978-1-4757-2442-4
ISBN (Electronic):
978-1-4757-2440-0
Publication date (Print):
1995
DOI:
10.1007/978-1-4757-2440-0
SO-VID:
a65d732a-e604-4931-9809-6f7ca9559500
License:
http://www.springer.com/tdm
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Book chapters
pp. 1
Introduction: Four Periods in the Research of the Learning Problem
pp. 15
Setting of the Learning Problem
pp. 33
Consistency of Learning Processes
pp. 65
Bounds on the Rate of Convergence of Learning Processes
pp. 89
Controlling the Generalization Ability of Learning Processes
pp. 119
Constructing Learning Algorithms
pp. 167
Conclusion: What is Important in Learning Theory?
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