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Books Books 1 - 10 of about 45 related to Statistical learning theory.    

The Nature of Statistical Learning Theory

Vladimir Vapnik - Computers - 2000 - 314 pages
Four periods in the research of the learning problem. Setting of the learning problem. Informal reasoning and comments. Consistency of learning processes. Bounds on the rate of ...
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Algebraic Geometry and Statistical Learning Theory

Sumio Watanabe - Computers - 2009 - 300 pages
Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning ...
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An Elementary Introduction to Statistical Learning Theory

Sanjeev Kulkarni, Gilbert Harman - Mathematics - 2011 - 288 pages
A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the ...
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Structural Reliability: Statistical Learning Perspectives

Jorge E. Hurtado - Computers - 2004 - 257 pages
The last decades have witnessed the development of methods for solving struc tural reliability problems, which emerged from the efforts of numerous re searchers all over the ...
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman - Mathematics - 2001 - 533 pages
This book describes the important ideas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples ...
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Advances in Large Margin Classifiers

Alexander J. Smola - Computers - 2000 - 412 pages
The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths ...
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Learning with Kernels: Support Vector Machines, Regularization, Optimization ...

Bernhard Schölkopf, Alexander J. Smola - Computers - 2002 - 626 pages
A comprehensive introduction to Support Vector Machines and related kernel methods.
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Learning from Data: Concepts, Theory, and Methods

Vladimir Cherkassky, Filip M. Mulier - Computers - 2007 - 624 pages
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and ...
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