Learning Algorithms Theory and Applications : Theory and Applications

Language: English

Published by Springer, Copernicus, 1981

0387906401 / 9780387906409

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - Learning constitutes one of the most important phase of the whole psychological processes and it is essential in many ways for the occurrence of necessary changes in the behavior of adjusting organisms. In a broad sense influence of prior behavior and its consequence upon subsequent behavior is usually accepted as a definition of learning. Till recently learning was regarded as the prerogative of living beings. But in the past few decades there have been attempts to construct learning machines or systems with considerable success. This book deals with a powerful class of learning algorithms that have been developed over the past two decades in the context of learning systems modelled by finite state probabilistic automaton. These algorithms are very simple iterative schemes. Mathematically these algorithms define two distinct classes of Markov processes with unit simplex (of suitable dimension) as its state space. The basic problem of learning is viewed as one of finding conditions on the algorithm such that the associated Markov process has prespecified asymptotic behavior. As a prerequisite a first course in analysis and stochastic processes would be an adequate preparation to pursue the development in various chapters.

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Title
Learning Algorithms Theory and Applications : Theory and Applications
Author
S. Lakshmivarahan
Publisher
Springer, Copernicus
Publication year
1981
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0387906401
ISBN 13
9780387906409
Item weight
458 grams
Dimensions
235x155x17 mm

AHA-BUCH GmbH

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