Optimal Prototype Selection for Efficient Pattern Classification: Techniques and Applications - Softcover
Synopsis
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.
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About the Author
Dr. V. Susheela Devi is at present working in the Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India. She works in the areas of Pattern Recognition, Artificial Intelligence and Soft Computing.
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Optimal Prototype Selection for Efficient Pattern Classification
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VDM Verlag Dr. Müller, 2010
ISBN 10: 363923913X
ISBN 13: 9783639239133
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Devi V. SusheelaDr. V. Susheela Devi is at present working in the Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India. She works in the areas of Pattern Recognition, Artificial Intelligence a. Seller Inventory # 4969964
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Optimal Prototype Selection for Efficient Pattern Classification | Techniques and Applications
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Taschenbuch. Condition: Neu. Optimal Prototype Selection for Efficient Pattern Classification | Techniques and Applications | V. Susheela Devi | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639239133 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101292262
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Optimal Prototype Selection for Efficient Pattern Classification : Techniques and Applications
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Taschenbuch. Condition: Neu. 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
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Optimal Prototype Selection for Efficient Pattern Classification: Techniques and Applications
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