Active learning for probabilistic hypotheses using the maximum Gibbs error criterion
Advances in Neural Information Processing Systems
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sg-nus-scholar.10635-779982015-01-05T21:03:57Z Active learning for probabilistic hypotheses using the maximum Gibbs error criterion Nguyen, V.C. Lee, W.S. Ye, N. Chai, K.M.A. Chieu, H.L. COMPUTER SCIENCE Advances in Neural Information Processing Systems 2014-07-04T03:11:15Z 2014-07-04T03:11:15Z 2013 Conference Paper Nguyen, V.C.,Lee, W.S.,Ye, N.,Chai, K.M.A.,Chieu, H.L. (2013). Active learning for probabilistic hypotheses using the maximum Gibbs error criterion. Advances in Neural Information Processing Systems. ScholarBank@NUS Repository. 10495258 http://scholarbank.nus.edu.sg/handle/10635/77998 NOT_IN_WOS Scopus |
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COMPUTER SCIENCE Nguyen, V.C. Lee, W.S. Ye, N. Chai, K.M.A. Chieu, H.L. |
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Nguyen, V.C. Lee, W.S. Ye, N. Chai, K.M.A. Chieu, H.L. |
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Nguyen, V.C. Lee, W.S. Ye, N. Chai, K.M.A. Chieu, H.L. Active learning for probabilistic hypotheses using the maximum Gibbs error criterion |
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Nguyen, V.C. |
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Active learning for probabilistic hypotheses using the maximum Gibbs error criterion |
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Active learning for probabilistic hypotheses using the maximum Gibbs error criterion |
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Active learning for probabilistic hypotheses using the maximum Gibbs error criterion |
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Active learning for probabilistic hypotheses using the maximum Gibbs error criterion |
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Active learning for probabilistic hypotheses using the maximum Gibbs error criterion |
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active learning for probabilistic hypotheses using the maximum gibbs error criterion |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/77998 |
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