Lin, Hsuan-TienHsuan-TienLinLin, Chih-JenChih-JenLinWeng, Ruby C.Ruby C.Weng2011-04-182018-07-052011-04-182018-07-05200708856125http://ntur.lib.ntu.edu.tw//handle/246246/232994https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548160247&doi=10.1007%2fs10994-007-5018-6&partnerID=40&md5=fa1f139acfa88405d05a2e045f7d8b9bPlatt'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.en-USPosterior probability; Support vector machineAlgorithms; Classification (of information); Codes (symbols); Convergence of numerical methods; Support vector machines; Large margin classifiers; Posterior probability; Probabilistic logicsjournal article2-s2.0-34548160247http://ntur.lib.ntu.edu.tw/bitstream/246246/232994/-1/01.pdf