Optimal Prototype Selection for Efficient Pattern Classification: Techniques and Applications - Brossura

Devi, V. Susheela

Brossura

ISBN 10: 363923913X ISBN 13: 9783639239133

Casa editrice: VDM Verlag Dr. Müller, 2010

Riassunto

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.

Su questo libro

L'autore

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.

Dettagli dell'edizione

• Editore: VDM Verlag Dr. Müller
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 363923913X
• ISBN 13: 9783639239133
• Rilegatura: Copertina flessibile
• Numero di pagine: 204
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile