Loss function

Results: 478



#Item
61Energetic Natural Gradient Descent

Energetic Natural Gradient Descent

Add to Reading List

Source URL: psthomas.com

Language: English - Date: 2016-05-26 17:40:03
62Motor Primitive Discovery Philip S. Thomas Andrew G. Barto  Department of Computer Science

Motor Primitive Discovery Philip S. Thomas Andrew G. Barto Department of Computer Science

Add to Reading List

Source URL: psthomas.com

Language: English - Date: 2013-11-16 15:49:34
63JMLR: Workshop and Conference Proceedings vol 40:1–36, 2015  Truthful Linear Regression Rachel Cummings  RACHELC @ CALTECH . EDU

JMLR: Workshop and Conference Proceedings vol 40:1–36, 2015 Truthful Linear Regression Rachel Cummings RACHELC @ CALTECH . EDU

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
64Microsoft Word - IERC 2003 _Optimum Target-Quadratic Loss Function_.doc

Microsoft Word - IERC 2003 _Optimum Target-Quadratic Loss Function_.doc

Add to Reading List

Source URL: ws2.binghamton.edu

Language: English - Date: 2004-09-18 15:31:19
    65Efficient Learning of Linear Separators under Bounded Noise Pranjal Awasthi PAWASHTI @ CS . PRINCETON . EDU  Princeton University

    Efficient Learning of Linear Separators under Bounded Noise Pranjal Awasthi PAWASHTI @ CS . PRINCETON . EDU Princeton University

    Add to Reading List

    Source URL: jmlr.org

    Language: English - Date: 2015-07-20 20:08:35
    66Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot

    Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot

    Add to Reading List

    Source URL: ai2-website.s3.amazonaws.com

    Language: English - Date: 2016-05-10 13:04:52
    67IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBERNonparametric Decentralized Detection Using Kernel Methods

    IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBERNonparametric Decentralized Detection Using Kernel Methods

    Add to Reading List

    Source URL: dept.stat.lsa.umich.edu

    Language: English - Date: 2005-10-29 19:46:54
    68JMLR: Workshop and Conference Proceedings vol 40:1–17, 2015  Optimum Statistical Estimation with Strategic Data Sources Yang Cai∗  CAI @ CS . MCGILL . CA

    JMLR: Workshop and Conference Proceedings vol 40:1–17, 2015 Optimum Statistical Estimation with Strategic Data Sources Yang Cai∗ CAI @ CS . MCGILL . CA

    Add to Reading List

    Source URL: jmlr.org

    Language: English - Date: 2015-07-20 20:08:35
    69Sample Complexity of Composite Likelihood  Joseph K. Bradley Carlos Guestrin Carnegie Mellon University

    Sample Complexity of Composite Likelihood Joseph K. Bradley Carlos Guestrin Carnegie Mellon University

    Add to Reading List

    Source URL: select.cs.cmu.edu

    Language: English - Date: 2012-04-11 16:43:47
    70BPR: Bayesian Personalized Ranking from Implicit Feedback  Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un

    BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un

    Add to Reading List

    Source URL: www.algo.uni-konstanz.de

    Language: English - Date: 2015-07-15 09:56:07