A note on Platt's probabilistic outputs for support vector machines

被引：540

作者：

Lin, Hsuan-Tien ^{[1
]}

Lin, Chih-Jen

Weng, Ruby C.

机构：

[1] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan

[2] Natl Chengchi Univ, Dept Stat, Taipei 116, Taiwan

来源：

MACHINE LEARNING | 2007年 / 68卷 / 03期

关键词：

support vector machine; posterior probability;

D O I：

10.1007/s10994-007-5018-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Platt's probabilistic outputs for Support Vector Machines (Platt, J. in Smola, A., et al. (eds.) Advances in large margin classifiers. Cambridge, 2000) has been popular for applications that require posterior class probabilities. In this note, we propose an improved algorithm that theoretically converges and avoids numerical difficulties. A simple and ready-to-use pseudo code is included.

引用

页码：267 / 276

页数：10