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Machine Learning by Adaptive Local Hyperplane Algorithm: Theory and Applications - Couverture souple

Yang, Tao; Kecman, Vojislav

 
9783639261844: Machine Learning by Adaptive Local Hyperplane Algorithm: Theory and Applications
Couverture souple
ISBN 10 : 3639261844 ISBN 13 : 9783639261844
Editeur : VDM Verlag Dr. Müller, 2010

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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 with VCU, SoE, CS, Richmond, VA, USA. He authored several books on machine learning (see, www.people.vcu.edu/~vkecman).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639261844
ISBN 13 
9783639261844
Reliure
Broché
Nombre de pages
144
Coordonnées du fabricant
non disponible
Personne responsable
non disponible