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Kernel Methods for Pattern Analysis (Hardcover)
Loot Price: R2,638
Discovery Miles 26 380
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Kernel Methods for Pattern Analysis (Hardcover)
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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 practitioners with a large toolkit of
algorithms, kernels and solutions ready to use for standard pattern
discovery problems in fields such as bioinformatics, text analysis,
image analysis. Secondly it provides an easy introduction for
students and researchers to the growing field of kernel-based
pattern analysis, demonstrating with examples how to handcraft an
algorithm or a kernel for a new specific application, and covering
all the necessary conceptual and mathematical tools to do so.
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