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Kernel Methods for Pattern Analysis
John Shawe-Taylor, Nello Cristianini
[PDF.tb88] Kernel Methods for Pattern Analysis
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| #727470 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||"The book provides an excellent overview of this growing field. I highly recommend it to those who are interested in pattern analysis and machine learning, and especially to those who want to apply kernel-based methods to text analysis and bioinformatics probl
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 easily download any file type for your device.Kernel Methods for Pattern Analysis | John Shawe-Taylor, Nello Cristianini. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
