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11

ML
2007
ACM

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

13 years 4 months ago

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

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Platt’s probabilistic outputs for Support Vector Machines (Platt, 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.

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

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Machine Learning | ML 2007 | Platt’s Probabilistic Outputs | Posterior Class Probabilities | Support Vector Machines |

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Added	27 Dec 2010
Updated	27 Dec 2010
Type	Journal
Year	2007
Where	ML
Authors	Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng

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