Abstract machine

Results: 823



#Item
761Minimization of Formal Knowledge in Cognitive and Machine Learning Systems: Research Presentation Andrew Gleibman [removed] Abstract. The article describes the current status of our research started from ge

Minimization of Formal Knowledge in Cognitive and Machine Learning Systems: Research Presentation Andrew Gleibman [removed] Abstract. The article describes the current status of our research started from ge

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Source URL: www.sampletalk.com

Language: English - Date: 2013-09-17 05:33:20
762Neural network techniques of indeterminacy minimization in nonlinear identification tasks V. Snytyuk Cand. of. Sc., Ryabokon Str., 27/76, Cherkasy, Ukraine, 18030, [removed], http://iissvit.narod.ru Abstract: In the

Neural network techniques of indeterminacy minimization in nonlinear identification tasks V. Snytyuk Cand. of. Sc., Ryabokon Str., 27/76, Cherkasy, Ukraine, 18030, [removed], http://iissvit.narod.ru Abstract: In the

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Source URL: artint.com.ua

Language: English - Date: 2012-12-06 19:29:07
763Abstracting Abstract Machines: A Systematic Approach to Higher-Order Program Analysis

Abstracting Abstract Machines: A Systematic Approach to Higher-Order Program Analysis

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Source URL: matt.might.net

Language: English - Date: 2014-01-06 09:40:27
764Resource Systems in Games: An Analytical Approach Tróndur Justinussen, Peter Hald Rasmussen, Alessandro Canossa and Julian Togelius  Abstract— We describe an approach to using standard data mining algorithms to hel

Resource Systems in Games: An Analytical Approach Tróndur Justinussen, Peter Hald Rasmussen, Alessandro Canossa and Julian Togelius  Abstract— We describe an approach to using standard data mining algorithms to hel

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Source URL: julian.togelius.com

Language: English - Date: 2013-08-26 11:58:54
765Concurrent Activity Recognition For Clinical Work Afsaneh Doryab and Julian Togelius Abstract— We present an approach to learning to recognize concurrent activities based on multiple data streams. One example is recogn

Concurrent Activity Recognition For Clinical Work Afsaneh Doryab and Julian Togelius Abstract— We present an approach to learning to recognize concurrent activities based on multiple data streams. One example is recogn

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Source URL: julian.togelius.com

Language: English - Date: 2013-08-26 11:58:53
766Predicting Player Behavior in Tomb Raider: Underworld Tobias Mahlmann, Anders Drachen, Julian Togelius, Alessandro Canossa and Georgios N. Yannakakis Abstract—This paper presents the results of an explorative study on

Predicting Player Behavior in Tomb Raider: Underworld Tobias Mahlmann, Anders Drachen, Julian Togelius, Alessandro Canossa and Georgios N. Yannakakis Abstract—This paper presents the results of an explorative study on

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Source URL: julian.togelius.com

Language: English - Date: 2013-08-26 11:58:49
767Improved Statistical Machine Translation Using Monolingual Paraphrases Preslav Nakov123 Abstract. We propose a novel monolingual sentence paraphrasing method for augmenting the training data for statistical machine trans

Improved Statistical Machine Translation Using Monolingual Paraphrases Preslav Nakov123 Abstract. We propose a novel monolingual sentence paraphrasing method for augmenting the training data for statistical machine trans

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Source URL: biotext.berkeley.edu

Language: English - Date: 2009-02-20 11:30:11
768The influence of shives on newsprint strength Øyvind Weiby Gregersen1, Åge Hansen1 and Torbjørn Helle2 1: Norwegian Pulp and Paper Research Institute 2: Norwegian University of Science and Technology ABSTRACT Late woo

The influence of shives on newsprint strength Øyvind Weiby Gregersen1, Åge Hansen1 and Torbjørn Helle2 1: Norwegian Pulp and Paper Research Institute 2: Norwegian University of Science and Technology ABSTRACT Late woo

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Source URL: www.chemeng.ntnu.no

Language: English - Date: 1999-12-09 10:34:25
769Policy Search For Learning Robot Control Using Sparse Data B. Bischoff1 , D. Nguyen-Tuong1 , H. van Hoof2 , A. McHutchon3 , C. E. Rasmussen3 , A. Knoll4 , J. Peters2,5 , M. P. Deisenroth6,2 Abstract— In many complex ro

Policy Search For Learning Robot Control Using Sparse Data B. Bischoff1 , D. Nguyen-Tuong1 , H. van Hoof2 , A. McHutchon3 , C. E. Rasmussen3 , A. Knoll4 , J. Peters2,5 , M. P. Deisenroth6,2 Abstract— In many complex ro

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Source URL: www.ias.tu-darmstadt.de

Language: English - Date: 2014-02-24 10:48:15
770Tendon-Driven Variable Impedance Control Using Reinforcement Learning Eric Rombokas, Mark Malhotra, Evangelos Theodorou, Emanuel Todorov, and Yoky Matsuoka Abstract—Biological motor control is capable of learning compl

Tendon-Driven Variable Impedance Control Using Reinforcement Learning Eric Rombokas, Mark Malhotra, Evangelos Theodorou, Emanuel Todorov, and Yoky Matsuoka Abstract—Biological motor control is capable of learning compl

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Source URL: roboticsproceedings.org

Language: English - Date: 2013-06-10 06:15:02