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    AAAI
    2008
    137views Intelligent Agents» more  AAAI 2008»
    H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP
    14 years 21 days ago
    H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP
    Download  www.aaai.org
    In distributed constraint optimization problems, dynamic programming methods have been recently proposed (e.g. DPOP). In dynamic programming many valuations are grouped together i...
    Akshat Kumar, Adrian Petcu, Boi Faltings
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    AAAI
    2008
    157views Intelligent Agents» more  AAAI 2008»
    Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
    14 years 21 days ago
    Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
    Download  www.aaai.org
    Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
    Cédric Rose, Jamal Saboune, François...
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    AAAI
    2000
    147views Intelligent Agents» more  AAAI 2000»
    Making Rational Decisions Using Adaptive Utility Elicitation
    13 years 11 months ago
    Making Rational Decisions Using Adaptive Utility Elicitation
    Download  ai.stanford.edu
    Rational decision making requires full knowledge of the utility function of the person affected by the decisions. However, in many cases, the task of acquiring such knowledge is n...
    Urszula Chajewska, Daphne Koller, Ronald Parr
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    AAAI
    1996
    147views Intelligent Agents» more  AAAI 1996»
    Building Classifiers Using Bayesian Networks
    13 years 11 months ago
    Building Classifiers Using Bayesian Networks
    Download  www.cs.huji.ac.il
    Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
    Nir Friedman, Moisés Goldszmidt
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    AAAI
    2012
    246views Intelligent Agents» more  AAAI 2012»
    Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
    12 years 22 days ago
    Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
    Download  www-kd.iai.uni-bonn.de
    Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
    Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...
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