文章基本信息

标题：Support Vector Machines
本地全文：下载
作者：David Meyer
期刊名称：R News
印刷版ISSN：1609-3631
出版年度：2001
卷号：1
期号：3
页码：23
出版社：The R Foundation for Statistical Computing
摘要：“Hype or Hallelujah?” is the provocative title used by Bennett & Campbell (2000) in an overview of Support Vector Machines (SVM). SVMs are currently a hot topic in the machine learning community, creating a similar enthusiasm at the moment as Artificial Neural Networks used to do before. Far from being a panacea, SVMs yet represent a powerful technique for general (nonlinear) classification, regression and outlier detection with an intuitive model representation.