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Machine Learning by Adaptive Local Hyperplane Algorithm

Theory and Applications

Language EnglishEnglish
Book Paperback
Book Machine Learning by Adaptive Local Hyperplane Algorithm Tao Yang
Libristo code: 06833535
Publishers VDM Verlag, May 2010
Machine learning algorithms play a key role in many fields of science, technology and business. Clas... Full description
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Machine learning algorithms play a key role in many fields of science, technology and business. Classification and regression are two fundamental tasks in machine learning. This book is devoted to develop learning algorithms for solving the classification and regression problems. A novel learning algorithm dubbed as adaptive local hyperplane (ALH) is introduced to solve the general classification and regression problems. The ALH algorithm belongs to the nonparametric paradigm and it is an extension of the K-local hyperplane distance nearest neighbor (HKNN) algorithm. The ALH algorithm and its extensions have been successfully applied into many real world tasks such as face recognition and DNA microarray analysis and protein sequence function prediction.

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About the book

Full name Machine Learning by Adaptive Local Hyperplane Algorithm
Language English
Binding Book - Paperback
Date of issue 2010
Number of pages 144
EAN 9783639261844
ISBN 3639261844
Libristo code 06833535
Publishers VDM Verlag
Weight 222
Dimensions 229 x 152 x 8
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