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Synopsis
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 Author
Dr Tao Yang is a research fellow at the University of Technology Sydney, Australia. He has published 4 journal papers and 7 international conference papers in the area of machine learning (data mining). Vojislav Kecman is Professor at VCU, SoE, Computer Science Department, Richmond, VA, USA. He authored several books on machine learning (see, people.vcu.edu/~vkecman).
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Machine Learning by Adaptive Local Hyperplane Algorithm
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VDM Verlag Dr. Müller, 2010
ISBN 10: 3639261844
ISBN 13: 9783639261844
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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: Yang TaoDr Tao Yang is a research fellow at the University of Technology Sydney, Australia. He has published 4 journal papers and 7 international conference papers in the area of machine learning (data mining). Vojislav Kecman is w. Seller Inventory # 4971949
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Machine Learning by Adaptive Local Hyperplane Algorithm : Theory and Applications
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9783639261844
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Machine Learning by Adaptive Local Hyperplane Algorithm | Theory and Applications
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Taschenbuch. Condition: Neu. Machine Learning by Adaptive Local Hyperplane Algorithm | Theory and Applications | Tao Yang (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639261844 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101032436
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