Kernel Methods in Computational Biology 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Scholkopf, Bernhard (EDT)/ Tsuda, Koji (EDT)/ Vert, Jean-Philippe (EDT) 作者

Mit Pr

译者

2004-7 出版日期

416 页数

$ 59.89 价格

HRD

丛书系列

9780262195096 图书编码

Kernel Methods in Computational Biology 在线电子书图书标签: 机器学习算法生物军事

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Kernel Methods in Computational Biology 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DNA or amino acid sequences), and the need to combine heterogeneous sources of information. This book provides a detailed overview of current research in kernel methods and their applications to computational biology.Following three introductory chapters -- an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biology -- the book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods.

Kernel Methods in Computational Biology 在线电子书下载 mobi epub pdf txt 在线电子书下载

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