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

Yang, Tao; Kecman, Vojislav

Brossura

ISBN 10: 3639261844 ISBN 13: 9783639261844

Casa editrice: VDM Verlag Dr. Müller, 2010

Riassunto

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.

Su questo libro

L'autore

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).

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).

Dettagli dell'edizione

• Editore: VDM Verlag Dr. Müller
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 3639261844
• ISBN 13: 9783639261844
• Rilegatura: Copertina flessibile
• Numero di pagine: 144
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile