期刊
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS
卷 1, 期 3, 页码 283-289出版社
WILEY
DOI: 10.1002/wics.49
关键词
support vector machines; kernel methods; classification algorithms
Support vector machines (SVMs) are a family of machine learning methods, originally introduced for the problem of classification and later generalized to various other situations. They are based on principles of statistical learning theory and convex optimization, and are currently used in various domains of application, including bioinformatics, text categorization, and computer vision. (C) 2009 John Wiley & Sons, Inc.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据