Constraint learning

Results: 76



#Item
41Preferences in constraint satisfaction and optimization Francesca Rossi, K. Brent Venable, Toby Walsh Abstract We review constraint-based approaches to handle preferences. We start by defining the main notions of constra

Preferences in constraint satisfaction and optimization Francesca Rossi, K. Brent Venable, Toby Walsh Abstract We review constraint-based approaches to handle preferences. We start by defining the main notions of constra

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Source URL: www.cse.unsw.edu.au

Language: English - Date: 2009-01-14 01:34:07
42Planning in Models that Combine Memory with Predictive Representations of State

Planning in Models that Combine Memory with Predictive Representations of State

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Source URL: aaai.org

Language: English - Date: 2006-01-11 01:12:22
43CogSci02  A Constraint Satisfaction Model of Causal Learning and Reasoning York Hagmayer ([removed]) Department of Psychology, University of Göttingen Gosslerstr. 14, 37073 Göttingen, Germany

CogSci02 A Constraint Satisfaction Model of Causal Learning and Reasoning York Hagmayer ([removed]) Department of Psychology, University of Göttingen Gosslerstr. 14, 37073 Göttingen, Germany

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Source URL: www.psych.uni-goettingen.de

Language: English - Date: 2012-02-19 14:06:46
44WORKING PAPER ITLS-WP[removed]Constrained stated choice experimental designs By Andrew T. Collins, Michiel C.J. Bliemer and

WORKING PAPER ITLS-WP[removed]Constrained stated choice experimental designs By Andrew T. Collins, Michiel C.J. Bliemer and

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Source URL: sydney.edu.au

Language: English - Date: 2014-11-17 21:40:31
45Microsoft Word - VITA_TC.doc

Microsoft Word - VITA_TC.doc

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Source URL: faculty.tc.columbia.edu

Language: English - Date: 2010-04-13 15:43:14
46Model Selection for Semi-Supervised Clustering Mojgan Pourrajabi Davoud Moulavi  Ricardo J. G. B. Campello

Model Selection for Semi-Supervised Clustering Mojgan Pourrajabi Davoud Moulavi Ricardo J. G. B. Campello

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Source URL: www.dbs.ifi.lmu.de

Language: English - Date: 2014-01-23 11:19:29
47Model Selection for Semi-Supervised Clustering Mojgan Pourrajabi Davoud Moulavi  Ricardo J. G. B. Campello

Model Selection for Semi-Supervised Clustering Mojgan Pourrajabi Davoud Moulavi Ricardo J. G. B. Campello

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Source URL: openproceedings.org

Language: English - Date: 2014-03-10 04:29:39
48Neurorehabilitation and Neural Repair http://nnr.sagepub.com/ Getting Neurorehabilitation Right : What Can Be Learned From Animal Models? John W. Krakauer, S. Thomas Carmichael, Dale Corbett and George F. Wittenberg

Neurorehabilitation and Neural Repair http://nnr.sagepub.com/ Getting Neurorehabilitation Right : What Can Be Learned From Animal Models? John W. Krakauer, S. Thomas Carmichael, Dale Corbett and George F. Wittenberg

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Source URL: blam-lab.org

Language: English - Date: 2012-10-19 16:52:29
49Learning in the Face of Infidelity: Evaluating the Robust Interpretive Parsing/Constraint Demotion Model of Optimality Theory Language Acquisition Joshua Ian Tauberer

Learning in the Face of Infidelity: Evaluating the Robust Interpretive Parsing/Constraint Demotion Model of Optimality Theory Language Acquisition Joshua Ian Tauberer

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Source URL: razor.occams.info

Language: English - Date: 2008-12-23 10:50:06
50Learning Techniques for Pseudo-Boolean Solving Jos´e Santos IST/UTL, INESC-ID, Portugal Vasco Manquinho IST/UTL, INESC-ID, Portugal

Learning Techniques for Pseudo-Boolean Solving Jos´e Santos IST/UTL, INESC-ID, Portugal Vasco Manquinho IST/UTL, INESC-ID, Portugal

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Source URL: ceur-ws.org

Language: English - Date: 2008-11-12 11:31:22