S. Y. Kung – författare

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4 produkter

1. 

   Principal Component Neural Networks

   Theory and Applications

   Av K. I. Diamantaras, S. Y. Kung

   Inbunden, 1996

   2339 kr

   Lägg i varukorg

   Systematically explores the relationship between principal component analysis (PCA) and neural networks. Provides a synergistic examination of the mathematical, algorithmic, application and architectural aspects of principal component neural networks. Using a unified formulation, the authors …

2. 

   Kernel Methods and Machine Learning

   Av S. Y. Kung

   Inbunden, 2014

   1526 kr

   Lägg i varukorg

   Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and …

3. 

   Kernel Methods and Machine Learning

   Av S. Y. Kung

   E-bok, 2014

   1478 kr

   Lägg i varukorg

   Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and …

4. 

   Kernel Methods and Machine Learning

   Av S. Y. Kung

   E-bok, 2014

   1511 kr

   Lägg i varukorg

   Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and …