Kernel Methods for Pattern Analysis pdf epub mobi txt 电子书下载 2026

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出版者:Cambridge University Press

作者:John Shawe-Taylor

出品人:

页数:476

译者:

出版时间:2004-6-28

价格:USD 99.00

装帧:Hardcover

isbn号码:9780521813976

丛书系列:

图书标签:

机器学习
kernel
人工智能
模式识别
核方法
pattern_recognition
计算机
数据挖掘
Kernel Methods
Pattern Analysis
Machine Learning
Support Vector Machines
Data Mining
Statistical Learning
Pattern Recognition
Algorithms
Computational Intelligence
Kernel Functions

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具体描述

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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