Optimal Prototype Selection for Efficient Pattern Classification : Techniques and Applications

Language: English

Published by VDM Verlag Dr. Müller, 2010

363923913X / 9783639239133

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

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nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the task of prototype selection from the training set in the context of supervised learning. When the training set is large,use of the entire training set is often time-consuming and wasteful. In such cases, reducing the training set could be quite helpful. Prototype selection is also useful when the training set is too large for the problem at hand due to redundancies and unnecessary samples. In this case, the use of prototype selection can result in a higher classification accuracy. Prototype selection either means selecting a subset of the training set or selecting some prototypes which have been derived from the training set. The selection of prototypes entails answering questions, such as, how many prototypes to choose, whether to choose a subset of training patterns or not, which prototypes to choose, etc. These issues have been addressed in this book.

Seller Inventory # 9783639239133

Title
Optimal Prototype Selection for Efficient Pattern Classification : Techniques and Applications
Author
V. Susheela Devi
Publisher
VDM Verlag Dr. Müller
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
363923913X
ISBN 13
9783639239133
Item weight
320 grams
Dimensions
220x176x33 mm

AHA-BUCH GmbH

Einbeck, Germany

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