In 1982, Springer published the English translation of the Russian
book Estimation of Dependencies Based on Empirical Data which
became the foundation of the statistical theory of learning and
generalization (the VC theory). A number of new principles and new
technologies of learning, including SVM technology, have been
developed based on this theory.
The second edition of this book contains two parts:
- A reprint of the first edition which provides the classical
foundation of Statistical Learning Theory
- Four new chapters describing the latest ideas in the
development of statistical inference methods. They form the second
part of the book entitled Empirical Inference Science
The second part of the book discusses along with new models of
inference the general philosophical principles of making inferences
from observations. It includes new paradigms of inference that use
non-inductive methods appropriate for a complex world, in contrast
to inductive methods of inference developed in the classical
philosophy of science for a simple world.
The two parts of the book cover a wide spectrum of ideas related
to the essence of intelligence: from the rigorous statistical
foundation of learning models to broad philosophical imperatives
for generalization.
The book is intended for researchers who deal with a variety of
problems in empirical inference: statisticians, mathematicians,
physicists, computer scientists, and philosophers.
General
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