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    AAAI
    2007
    99views Intelligent Agents» more  AAAI 2007»
    Using Multiresolution Learning for Transfer in Image Classification
    14 years 1 months ago
    Using Multiresolution Learning for Transfer in Image Classification
    Download  cs.brynmawr.edu
    Eric Eaton, Marie desJardins, John Stevenson
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    AAAI
    2007
    106views Intelligent Agents» more  AAAI 2007»
    A Spectrum of Symbolic On-line Diagnosis Approaches
    14 years 1 months ago
    A Spectrum of Symbolic On-line Diagnosis Approaches
    Download  users.cecs.anu.edu.au
    This paper deals with the monitoring and diagnosis of large discrete-event systems. The problem is to determine, online, all faults and states that explain the flow of observatio...
    Anika Schumann, Yannick Pencolé, Sylvie Thi...
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    AAAI
    2008
    117views Intelligent Agents» more  AAAI 2008»
    Worst-case Optimal Conjunctive Query Answering for an Expressive Description Logic without Inverses
    14 years 1 months ago
    Worst-case Optimal Conjunctive Query Answering for an Expressive Description Logic without Inverses
    Download  www.kr.tuwien.ac.at
    Answering conjunctive queries (CQs) has been recognized as a key task for the usage of Description Logics (DLs) in a number of applications, and has thus been studied by many auth...
    Magdalena Ortiz, Mantas Simkus, Thomas Eiter
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    AAAI
    2008
    154views Intelligent Agents» more  AAAI 2008»
    Fast Planning by Search in Domain Transition Graph
    14 years 1 months ago
    Fast Planning by Search in Domain Transition Graph
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    Recent advances in classical planning have used the SAS+ formalism, and several effective heuristics have been developed based on the SAS+ formalism. Comparing to the traditional ...
    Yixin Chen, Ruoyun Huang, Weixiong Zhang
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    AAAI
    2007
    91views Intelligent Agents» more  AAAI 2007»
    Manifold Denoising as Preprocessing for Finding Natural Representations of Data
    14 years 1 months ago
    Manifold Denoising as Preprocessing for Finding Natural Representations of Data
    Download  www.ml.uni-saarland.de
    A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...
    Matthias Hein, Markus Maier
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    AAAI
    2008
    151views Intelligent Agents» more  AAAI 2008»
    Instance-level Semisupervised Multiple Instance Learning
    14 years 1 months ago
    Instance-level Semisupervised Multiple Instance Learning
    Download  www.aaai.org
    Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
    Yangqing Jia, Changshui Zhang
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    AAAI
    2007
    109views Intelligent Agents» more  AAAI 2007»
    Partial Revelation Automated Mechanism Design
    14 years 1 months ago
    Partial Revelation Automated Mechanism Design
    Download  www.cs.toronto.edu
    In most mechanism design settings, optimal general-purpose mechanisms are not known. Thus the automated design of mechanisms tailored to specific instances of a decision scenario...
    Nathanael Hyafil, Craig Boutilier
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    AAAI
    2007
    92views Intelligent Agents» more  AAAI 2007»
    Approximate Inference in Probabilistic Graphical Models with Determinism
    14 years 1 months ago
    Approximate Inference in Probabilistic Graphical Models with Determinism
    Download  www.cs.washington.edu
    Vibhav Gogate
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    AAAI
    2008
    129views Intelligent Agents» more  AAAI 2008»
    Bound Consistency for Binary Length-Lex Set Constraints
    14 years 1 months ago
    Bound Consistency for Binary Length-Lex Set Constraints
    Download  www.aaai.org
    Pascal Van Hentenryck, Justin Yip, Carmen Gervet, ...
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    AAAI
    2007
    83views Intelligent Agents» more  AAAI 2007»
    A New Algorithm for Generating Equilibria in Massive Zero-Sum Games
    14 years 1 months ago
    A New Algorithm for Generating Equilibria in Massive Zero-Sum Games
    Download  www.aaai.org
    In normal scenarios, computer scientists often consider the number of states in a game to capture the difficulty of learning an equilibrium. However, players do not see games in ...
    Martin Zinkevich, Michael H. Bowling, Neil Burch
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