Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion

Viet Cuong Nguyen, Wee Sun Lee, Nan Ye, Kian Ming Adam Chai, Hai Leong Chieu. Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion. In Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. pages 1457-1465, 2013. [doi]

Abstract

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