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Machine Learning by Adaptive Local Hyperplane Algorithm

Autor Yang Tao, Kecman Vojislav
en Limba Engleză Paperback – 15 mai 2010
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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Specificații

ISBN-13: 9783639261844
ISBN-10: 3639261844
Pagini: 144
Dimensiuni: 152 x 229 x 9 mm
Greutate: 0.22 kg
Editura: AV Akademikerverlag GmbH & Co. KG.
Colecția VDM Verlag