Machine learning algorithms

Results: 467



#Item
71Journal of Machine Learning Research  Submitted 8/07; Revised 2/08; Published 5/08 Accelerated Neural Evolution through Cooperatively Coevolved Synapses

Journal of Machine Learning Research Submitted 8/07; Revised 2/08; Published 5/08 Accelerated Neural Evolution through Cooperatively Coevolved Synapses

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Source URL: people.idsia.ch

Language: English - Date: 2008-07-11 05:29:41
72On the Use of Positional Proximity in IR-Based Feature Location Emily Hill Bunyamin Sisman, Avinash Kak

On the Use of Positional Proximity in IR-Based Feature Location Emily Hill Bunyamin Sisman, Avinash Kak

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Source URL: users.drew.edu

Language: English - Date: 2013-12-09 22:02:36
73MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Exemplar Learning for Extremely Efficient Anomaly Detection in Real-Valued Time Series Jones, M.J.; Nikovski, D.N.; Imamura, M.; Hirata, T.

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Exemplar Learning for Extremely Efficient Anomaly Detection in Real-Valued Time Series Jones, M.J.; Nikovski, D.N.; Imamura, M.; Hirata, T.

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Source URL: www.merl.com

Language: English - Date: 2016-04-13 11:46:43
74Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th

Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th

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Source URL: www.csse.uwa.edu.au

Language: English
75Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem Simon M. Lucas Abstract— When learning to play a game or perform some task, it is important to learn as quickly and effectively as

Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem Simon M. Lucas Abstract— When learning to play a game or perform some task, it is important to learn as quickly and effectively as

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Source URL: game.itu.dk

Language: English - Date: 2010-08-10 12:41:00
76Journal of Machine Learning Research xxxx  Submitted xx/xx; Published xx/xx Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds

Journal of Machine Learning Research xxxx Submitted xx/xx; Published xx/xx Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds

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Source URL: arxiv.org

Language: English - Date: 2012-11-11 22:20:25
    77Journal of Machine Learning Research1822  Submitted 9/07; Published 8/08 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks

    Journal of Machine Learning Research1822 Submitted 9/07; Published 8/08 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks

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    Source URL: www.jmlr.org

    Language: English - Date: 2008-08-25 19:37:53
      78Lower Bounds for Asynchronous Consensus Leslie Lamport 28 July 2004 Revised 20 August 2005 Minor corrections made 19 January 2006

      Lower Bounds for Asynchronous Consensus Leslie Lamport 28 July 2004 Revised 20 August 2005 Minor corrections made 19 January 2006

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      Source URL: research.microsoft.com

      Language: English - Date: 2006-01-20 16:53:25
      79Gaussian processes Chuong B. Do (updated by Honglak Lee) November 22, 2008 Many of the classical machine learning algorithms that we talked about during the first half of this course fit the following pattern: given a tr

      Gaussian processes Chuong B. Do (updated by Honglak Lee) November 22, 2008 Many of the classical machine learning algorithms that we talked about during the first half of this course fit the following pattern: given a tr

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      Source URL: cs229.stanford.edu

      Language: English - Date: 2011-09-13 20:07:46
        80Sta$s$cal	
  Algorithms	
  	
   and	
  the	
  Planted	
  Clique	
  Problem	
   (and	
  random	
  graphs,	
  linear	
  equa$ons,	
  &	
  machine	
  learning)	
   	
  

        Sta$s$cal  Algorithms     and  the  Planted  Clique  Problem   (and  random  graphs,  linear  equa$ons,  &  machine  learning)    

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        Source URL: www.levreyzin.com

        Language: English - Date: 2015-11-09 17:26:18