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Kernel Methods for Pattern Analysis
John Shawe-Taylor, Nello Cristianini
[PDF.cz89] Kernel Methods for Pattern Analysis
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| #1724555 in eBooks | 2004-06-28 | 2004-06-28 | File type: PDF||4 of 4 people found the following review helpful.| An excellent treatment of kernel methods.|By Almon D. Ing|I am a graduate student who studies perceptual systems. My research interests are neuroscience, vision, statistics, classification, and machine learning.
I recently discovered that kernel methods are valuable tools for solving classification problems in a nearly optimal way. Apparently they are also useful f
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and tutorials, fulfils two major roles: firstly it provides pr...
You can specify the type of files you want, for your gadget.Kernel Methods for Pattern Analysis | John Shawe-Taylor, Nello Cristianini. I was recommended this book by a dear friend of mine.
