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    AAAI
    2015
    33views Intelligent Agents» more  AAAI 2015»
    Support Consistency of Direct Sparse-Change Learning in Markov Networks
    10 years 1 months ago
    Support Consistency of Direct Sparse-Change Learning in Markov Networks
    Download  cims.nyu.edu
    The interactions between covariates may change with learning domains. Discovering such transitions may offer key information helping us transfer our knowledge from one domain to a...
    Song Liu, Taiji Suzuki, Masashi Sugiyama
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    AAAI
    2015
    17views Intelligent Agents» more  AAAI 2015»
    Instance-Driven Ontology Evolution in DL-Lite
    10 years 1 months ago
    Instance-Driven Ontology Evolution in DL-Lite
    Download  www.ict.griffith.edu.au
    The development and maintenance of large and complex ontologies are often time-consuming and error-prone. Thus, automated ontology learning and evolution have attracted intensive ...
    Zhe Wang, Kewen Wang, Zhiqiang Zhuang, Guilin Qi
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    AAAI
    2015
    25views Intelligent Agents» more  AAAI 2015»
    On the Convergence of Iterative Voting: How Restrictive Should Restricted Dynamics Be?
    10 years 1 months ago
    On the Convergence of Iterative Voting: How Restrictive Should Restricted Dynamics Be?
    Download  www.cs.cmu.edu
    We study convergence properties of iterative voting procedures. Such a procedure is defined by a voting rule and a (restricted) iterative process, where at each step one agent ca...
    Svetlana Obraztsova, Evangelos Markakis, Maria Pol...
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    AAAI
    2015
    13views Intelligent Agents» more  AAAI 2015»
    Nonparametric Scoring Rules
    10 years 1 months ago
    Nonparametric Scoring Rules
    Download  slahaie.net
    A scoring rule is a device for eliciting and assessing probabilistic forecasts from an agent. When dealing with continuous outcome spaces, and absent any prior insights into the s...
    Erik Peter Zawadzki, Sébastien Lahaie
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    AAAI
    2015
    25views Intelligent Agents» more  AAAI 2015»
    A Theoretical Analysis of Optimization by Gaussian Continuation
    10 years 1 months ago
    A Theoretical Analysis of Optimization by Gaussian Continuation
    Download  people.csail.mit.edu
    Optimization via continuation method is a widely used approach for solving nonconvex minimization problems. While this method generally does not provide a global minimum, empirica...
    Hossein Mobahi, John W. Fisher III
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