Information Science and Statistics

By: V. Vapnik, S. Kotz (Translator)

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Hardcover | 28 March 2006 | Edition Number 2

At a Glance

Hardcover
528 Pages

Edition Type
Revised

Dimensions(cm)
23.5 x 15.5 x 2.54

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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 long period of time. During these years many things have happened. Looking back, one can see how rapidly life and technology have changed, and how slow and dif?cult it is to change the theoretical foundation of the technology and its philosophy. I pursued two goals writing this Afterword: to update the technical results presented in EDBED (the easy goal) and to describe a general picture of how the new ideas developed over these years (a much more dif?cult goal). The picture which I would like to present is a very personal (and therefore very biased) account of the development of one particular branch of science, Empirical - ference Science. Such accounts usually are not included in the content of technical publications. I have followed this rule in all of my previous books. But this time I would like to violate it for the following reasons. First of all, for me EDBED is the important milestone in the development of empirical inference theory and I would like to explain why. S- ond, during these years, there were a lot of discussions between supporters of the new 1 paradigm (now it is called the VC theory ) and the old one (classical statistics).

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You Can Find This Book In

Non-Fiction Mathematics Applied Mathematics Stochastics Probability & Statistics Computing & I.T.Computer Science Artificial Intelligence

he problem of estimating dependences from empirical data
ethods of expected-risk minimization
ethods of parametric statistics for the pattern recognition problem
ethods of parametric statistics for the problem of regression estimation
stimation of regression parameters
method of minimizing empirical risk for the problem of pattern recognition
method of minimizing empirical risk for the problem of regression estimation
he method of structural minimization of risk
olution of ill-posed problems, interpretation of measurements using the method of structural risk minimization
stimation of functional values at given points
ealism and instrumentalism: Classical statistics and the VC theory (1960-1980)
alsifiability and parsimony: VC dimension and the number of entities (1980-2000)
on-inductive methods of inference: Direct inference instead of generalization (2000- ...)
he big picture
Table of Contents provided by Publisher. All Rights Reserved.

Information Science and Statistics

At a Glance

Hardcover

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How to return your order

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You Can Find This Book In

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