Könyv Machine Learning by Adaptive Local Hyperplane Algorithm Tao Yang

Machine Learning by Adaptive Local Hyperplane Algorithm

Theory and Applications

Nyelv: Angol
Kötés: Puha kötésű
Kiadó: VDM Verlag
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
20 944 Ft
Machine learning algorithms play a key role in many fields of science, technology and business. Clas...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2010
oldal
144
EAN
9783639261844
ISBN
3639261844
Enbook ID
06833535
Kiadó
Súly
222
Méretek
229 x 152 x 8

Teljes leírás

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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