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

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.

• Type: Journal
• Year: 2007
• Where: ML
• Authors: Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng
• Keywords: Machine Learning, ML 2007, Platt’s Probabilistic Outputs, Posterior Class Probabilities, Support Vector Machines