A note on Platt’s probabilistic outputs for support vector machines Authors
First Online: 08 August 2007 Received: 17 February 2006 Revised: 07 May 2007 Accepted: 25 June 2007 DOI:
Cite this article as: Lin, H., Lin, C. & Weng, R.C. Mach Learn (2007) 68: 267. doi:10.1007/s10994-007-5018-6 Abstract
Platt’s probabilistic outputs for Support Vector Machines (Platt, J. in Smola, A., et al. (eds.) Advances in large margin classifiers. Cambridge,
) 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.
2000 Keywords Support vector machine Posterior probability Download to read the full article text References
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