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The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning from the general point of ... | |
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The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths ... | |
| V. Vapnik - Mathematics - 2006 - 505 pages
Twenty-?ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ?ve years is a ... | |
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This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs ... | |
| Jacob Wolfowitz - Mathematics - 1980 - 642 pages
Confidence limits for continuous distribution functions note on confidence limits for continuous distribution functions; Statistical tests based on permutations of the ... | |
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