Journal
MACHINE LEARNING
Volume 68, Issue 3, Pages 267-276Publisher
SPRINGER
DOI: 10.1007/s10994-007-5018-6
Keywords
support vector machine; posterior probability
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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.
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