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

Lin, Hsuan-Tien; Lin, Chih-Jen; Weng, Ruby C.; Lin, Hsuan-Tien; Lin, Chih-Jen; Weng, Ruby C.

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

Resource

Machine Learning, vol.68, pp.267-276

Journal

Machine Learning

Journal Volume

vol.68

Pages

267-276

Date Issued

2007

Date

2007

Author(s)

Lin, Hsuan-Tien

Lin, Chih-Jen

Weng, Ruby C.

URI

http://ntur.lib.ntu.edu.tw//handle/246246/232994

https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548160247&doi=10.1007%2fs10994-007-5018-6&partnerID=40&md5=fa1f139acfa88405d05a2e045f7d8b9b

Abstract

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. © 2007 Springer Science+Business Media, LLC.

Subjects

Posterior probability; Support vector machine

Other Subjects

Algorithms; Classification (of information); Codes (symbols); Convergence of numerical methods; Support vector machines; Large margin classifiers; Posterior probability; Probabilistic logics

Type

journal article

File(s)

Name

34.pdf

Size

379.61 KB

Format

Adobe PDF

Checksum

(MD5):801b8e0a609de49a610fbbb90fbc477f

Name

01.pdf

Size

23.19 KB

Format

Adobe PDF

Checksum

(MD5):7fb242ce5f285e2ddf7a47930befef16

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

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