Kernel Methods for Pattern Analysis - Info and Reading Options
By JOHN SHAWE-TAYLOR, John Shawe-Taylor and Nello Cristianini
"Kernel Methods for Pattern Analysis" was published by Cambridge University Press in 2011 - Cambridge, it has 1 pages and the language of the book is English.
“Kernel Methods for Pattern Analysis” Metadata:
- Title: ➤ Kernel Methods for Pattern Analysis
- Authors: JOHN SHAWE-TAYLORJohn Shawe-TaylorNello Cristianini
- Language: English
- Number of Pages: 1
- Publisher: Cambridge University Press
- Publish Date: 2011
- Publish Location: Cambridge
“Kernel Methods for Pattern Analysis” Subjects and Themes:
- Subjects: ➤ Computer Software Packages - Pattern recognition - Kernel functions - Computers - Mathematics - Programming - Systems Analysis & Design - Computer Books: Languages - Pattern perception - Machine learning - General - Computers / Bioinformatics - Algorithms - Data processing - Pattern recognition systems - Computers & the internet - Computer vision
Edition Identifiers:
- The Open Library ID: OL34459317M - OL13631988W
- ISBN-13: 9780511809682
- All ISBNs: 9780511809682
AI-generated Review of “Kernel Methods for Pattern Analysis”:
"Kernel Methods for Pattern Analysis" Description:
Open Data:
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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