Bregman divergence

Results: 39



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21Journal of Machine Learning Research ? ([removed]Submitted 8/09; Published ??/?? Information, Divergence and Risk for Binary Experiments Mark D. Reid

Journal of Machine Learning Research ? ([removed]Submitted 8/09; Published ??/?? Information, Divergence and Risk for Binary Experiments Mark D. Reid

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2009-08-23 23:03:10
22Accelerated Training of Max-Margin Markov Networks with Kernels Xinhua Zhang∗ Department of Computing Science, University of Alberta, Edmonton, AB T6G2E8, Canada  Ankan Saha

Accelerated Training of Max-Margin Markov Networks with Kernels Xinhua Zhang∗ Department of Computing Science, University of Alberta, Edmonton, AB T6G2E8, Canada Ankan Saha

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2013-02-25 19:29:17
23Bregman Divergence and Mirror Descent  1 Bregman Divergence

Bregman Divergence and Mirror Descent 1 Bregman Divergence

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2013-12-27 03:32:34
24Regularizers versus Losses for Nonlinear Dimensionality Reduction

Regularizers versus Losses for Nonlinear Dimensionality Reduction

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2012-06-02 22:35:08
25JMLR: Workshop and Conference Proceedings vol[removed]–[removed]25th Annual Conference on Learning Theory A Characterization of Scoring Rules for Linear Properties JABER @ SEAS . UPENN . EDU ∗

JMLR: Workshop and Conference Proceedings vol[removed]–[removed]25th Annual Conference on Learning Theory A Characterization of Scoring Rules for Linear Properties JABER @ SEAS . UPENN . EDU ∗

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Source URL: jmlr.csail.mit.edu

Language: English - Date: 2012-06-17 06:50:53
26Strictly Proper Scoring Rules, Prediction, and Estimation Tilmann G NEITING and Adrian E. R AFTERY Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score based on the predictive distr

Strictly Proper Scoring Rules, Prediction, and Estimation Tilmann G NEITING and Adrian E. R AFTERY Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score based on the predictive distr

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Source URL: www.csss.washington.edu

Language: English - Date: 2008-05-20 22:04:51
2711th International Society for Music Information Retrieval Conference (ISMIR[removed]ISLANDS OF GAUSSIANS: THE SELF ORGANIZING MAP AND GAUSSIAN MUSIC SIMILARITY FEATURES Dominik Schnitzer1,2 , Arthur Flexer1 , Gerhard Wid

11th International Society for Music Information Retrieval Conference (ISMIR[removed]ISLANDS OF GAUSSIANS: THE SELF ORGANIZING MAP AND GAUSSIAN MUSIC SIMILARITY FEATURES Dominik Schnitzer1,2 , Arthur Flexer1 , Gerhard Wid

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Source URL: ismir2010.ismir.net

Language: English - Date: 2014-01-23 13:05:28
28IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 56, NO. 11, NOVEMBER[removed]Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 56, NO. 11, NOVEMBER[removed]Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2010-11-03 13:13:21
29Journal of Machine Learning Research[removed]1080  Submitted 10/08; Revised 12/09; Published 3/10 Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes

Journal of Machine Learning Research[removed]1080 Submitted 10/08; Revised 12/09; Published 3/10 Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2010-04-09 15:03:36
30Journal of Machine Learning Research[removed]817  Submitted 8/09; Revised 11/10; Published 3/11 Information, Divergence and Risk for Binary Experiments Mark D. Reid

Journal of Machine Learning Research[removed]817 Submitted 8/09; Revised 11/10; Published 3/11 Information, Divergence and Risk for Binary Experiments Mark D. Reid

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Source URL: www.jmlr.org

Language: English - Date: 2011-03-22 13:30:08