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What is Statistical Learning Theory about?

<h3>Excerpt</h3> <div><div> <h2>CHAPTER 1</h2> <p><b>INTRODUCTION</b></p> <br> <p>1.1 Learning and statistical estimation<br> 1.2 Statistical dependency and causality<br> 1.3 Characterization of variables<br> 1.4 Characterization of uncertainty<br> 1.5 Predictive learning versus other data analytical methodologies<br></p> <br> <p>Where observation is concerned, chance favors only the prepared mind. Louis Pasteur</p> <p>This chapter describes the motivation and reasons for the growing interest in methods for learning (or estimation of empirical dependencies) from data and introduces informally some relevant terminology.</p> <p>Section 1.1 points out that the problem of learning from data is just one part of the general experimental procedure used in different fields of science and engineering. This procedure is described in detail, with emphasis on the importance of other steps (preceding learning) for overall success. Two distinct goals of learning from data, predictive accuracy (generalization) and interpretation (explanation), are also discussed.</p> <p>Section 1.2 discusses the relationship between statistical dependency and the notion of causality. It is pointed out that caus

Author

Cherkassky, Vladimir; Mulier, Filip

Publisher

John Wiley & Sons, Incorporated

Published

2007

Language

EN

ISBN

9780470140529