Machine Learning by Adaptive Local Hyperplane Algorithm

Name: Machine Learning by Adaptive Local Hyperplane Algorithm
Brand: VDM Verlag
SKU: 9783639261844
Price: 61.23 EUR
Availability: InStock

Theory and Applications

Автор: Tao Yang, Vojislav Kecman

Език:

Корици: С меки корици

Издател: VDM Verlag

Наличност: Налично при издателя, по поръчка

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61.23 € 119.75 лв

Machine learning algorithms play a key role in many fields of science, technology and business. Clas...

Информация за книгата

Автор

Tao Yang, Vojislav Kecman

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

144

EAN

9783639261844

ISBN

3639261844

Enbook ID

06833535

Издател

VDM Verlag

Теглоt

222

Размери

229 x 152 x 8

Пълно описание

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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Machine Learning by Adaptive Local Hyperplane Algorithm

Theory and Applications

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също