Bregman

Results: 93



#Item
41Convex Relaxations of Bregman Divergence Clustering  Hao Cheng Department of Computing Science  Xinhua Zhang

Convex Relaxations of Bregman Divergence Clustering Hao Cheng Department of Computing Science Xinhua Zhang

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2013-07-27 14:43:51
42Regularizers versus Losses for Nonlinear Dimensionality Reduction  Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada

Regularizers versus Losses for Nonlinear Dimensionality Reduction Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8 Canada

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Source URL: webdocs.cs.ualberta.ca

Language: English - Date: 2012-09-28 23:24:23
43Bouwrecht in kort bestek  Bouwrecht in kort bestek Onder redactie van: Prof. mr. M.A.M.C. van den Berg Prof. dr. ir. A.G. Bregman

Bouwrecht in kort bestek Bouwrecht in kort bestek Onder redactie van: Prof. mr. M.A.M.C. van den Berg Prof. dr. ir. A.G. Bregman

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Source URL: www.ibr.nl

Language: Dutch - Date: 2013-08-13 04:41:04
    44Accelerated 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: www.stat.purdue.edu

    Language: English - Date: 2013-08-25 15:10:28
    45Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications Andreas Buja 1

    Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications Andreas Buja 1

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    Source URL: stat.wharton.upenn.edu

    Language: English - Date: 2005-11-03 13:35:44
    46Strictly 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.stat.washington.edu

    Language: English - Date: 2008-05-20 22:04:51
    47Agglomerative Bregman Clustering  Matus Telgarsky [removed] Sanjoy Dasgupta [removed]

    Agglomerative Bregman Clustering Matus Telgarsky [removed] Sanjoy Dasgupta [removed]

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    Source URL: cseweb.ucsd.edu

    Language: English - Date: 2012-06-11 03:59:18
    48Similarity Search on Bregman Divergence: Towards Non-Metric Indexing Zhenjie Zhang1 1  Beng Chin Ooi1

    Similarity Search on Bregman Divergence: Towards Non-Metric Indexing Zhenjie Zhang1 1 Beng Chin Ooi1

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    Source URL: www.vldb.org

    Language: English - Date: 2009-07-27 10:29:02
    49The Bregman Variational Dual-Tree Framework  Saeed Amizadeh Intelligent Systems Program University of Pittsburgh Pittsburgh, PA 15213

    The Bregman Variational Dual-Tree Framework Saeed Amizadeh Intelligent Systems Program University of Pittsburgh Pittsburgh, PA 15213

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    Source URL: labs.yahoo.com

    Language: English - Date: 2015-01-06 14:28:10
    50Convex Foundations for Generalized MaxEnt Models Rafael Frongillo∗ and Mark D. Reid† ∗ †

    Convex Foundations for Generalized MaxEnt Models Rafael Frongillo∗ and Mark D. Reid† ∗ †

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    Source URL: mark.reid.name

    Language: English - Date: 2015-03-10 00:10:59