Kniha Machine Learning by Adaptive Local Hyperplane Algorithm Tao Yang

Machine Learning by Adaptive Local Hyperplane Algorithm

Theory and Applications

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: VDM Verlag
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 407
Machine learning algorithms play a key role in many fields of science, technology and business. Clas...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2010
Stránek
144
EAN
9783639261844
ISBN
3639261844
Enbook ID
06833535
Vydavatel
Hmotnost
222
Rozměry
229 x 152 x 8

Kompletní popis

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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