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    AAAI
    2006
    93views Intelligent Agents» more  AAAI 2006»
    Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
    13 years 9 months ago
    Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
    Download  www.cs.washington.edu
    Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
    Hoifung Poon, Pedro Domingos
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    AAAI
    2006
    110views Intelligent Agents» more  AAAI 2006»
    Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
    13 years 9 months ago
    Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
    Download  www.aaai.org
    In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
    Young-In Shin
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    AAAI
    2006
    127views Intelligent Agents» more  AAAI 2006»
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    13 years 9 months ago
    Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
    Download  robotic.media.mit.edu
    As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
    Andrea Lockerd Thomaz, Cynthia Breazeal
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    AAAI
    2006
    142views Intelligent Agents» more  AAAI 2006»
    Evaluating Preference-based Search Tools: A Tale of Two Approaches
    13 years 9 months ago
    Evaluating Preference-based Search Tools: A Tale of Two Approaches
    Download  www.aaai.org
    People frequently use the world-wide web to find their most preferred item among a large range of options. We call this task preference-based search. The most common tool for pref...
    Paolo Viappiani, Boi Faltings, Pearl Pu
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    AAAI
    2006
    92views Intelligent Agents» more  AAAI 2006»
    Quantifying Incentive Compatibility of Ranking Systems
    13 years 9 months ago
    Quantifying Incentive Compatibility of Ranking Systems
    Download  www.technion.ac.il
    Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about multi-agent ...
    Alon Altman, Moshe Tennenholtz
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