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Machine Learning by Adaptive Local Hyperplane Algorithm: Theory and Applications - Tapa blanda

Yang, Tao; Kecman, Vojislav

 
9783639261844: Machine Learning by Adaptive Local Hyperplane Algorithm: Theory and Applications
Tapa blanda
ISBN 10: 3639261844 ISBN 13: 9783639261844
Editorial: VDM Verlag Dr. Müller, 2010

Sinopsis

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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Reseña del editor

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.

Biografía del autor

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).

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Editorial
VDM Verlag Dr. Müller
Año de publicación
2010
Idioma
Inglés
ISBN 10 
3639261844
ISBN 13 
9783639261844
Encuadernación
Tapa blanda
Número de páginas
144
Contacto del fabricante
no disponible
Persona responsable
no disponible