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    IJCAI
    2007
    143views Artificial Intelligence» more  IJCAI 2007»
    Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
    15 years 15 days ago
    Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning
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    TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
    Ah-Hwee Tan
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    IJCAI
    2007
    129views Artificial Intelligence» more  IJCAI 2007»
    A Ranking Approach to Pronoun Resolution
    15 years 15 days ago
    A Ranking Approach to Pronoun Resolution
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    We propose a supervised maximum entropy ranking approach to pronoun resolution as an alternative to commonly used classification-based approaches. Classification approaches cons...
    Pascal Denis, Jason Baldridge
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    IJCAI
    2007
    142views Artificial Intelligence» more  IJCAI 2007»
    Scalable Diagnosability Checking of Event-Driven Systems
    15 years 15 days ago
    Scalable Diagnosability Checking of Event-Driven Systems
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    Diagnosability of systems is an essential property that determines how accurate any diagnostic reasoning can be on a system given any sequence of observations. Generally, in the l...
    Anika Schumann, Yannick Pencolé
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    IJCAI
    2007
    253views Artificial Intelligence» more  IJCAI 2007»
    Collapsed Variational Dirichlet Process Mixture Models
    15 years 15 days ago
    Collapsed Variational Dirichlet Process Mixture Models
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    Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
    Kenichi Kurihara, Max Welling, Yee Whye Teh
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    IJCAI
    2007
    166views Artificial Intelligence» more  IJCAI 2007»
    Incremental Construction of Structured Hidden Markov Models
    15 years 15 days ago
    Incremental Construction of Structured Hidden Markov Models
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    This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...
    Ugo Galassi, Attilio Giordana, Lorenza Saitta
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