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    » An Adaptive Model of Decision-Making in Planning
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    EPIA
    2005
    Springer
    146views Artificial Intelligence» more  EPIA 2005»
    Acquiring Observation Models Through Reverse Plan Monitoring
    14 years 1 months ago
    Acquiring Observation Models Through Reverse Plan Monitoring
    Download  www.cs.cmu.edu
    We present a general-purpose framework for updating a robot’s observation model within the context of planning and execution. Traditional plan execution relies on monitoring plan...
    Sonia Chernova, Elisabeth Crawford, Manuela M. Vel...
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    WWW
    2007
    ACM
    334views Internet Technology» more  WWW 2007»
    Optimized query planning of continuous aggregation queries in dynamic data dissemination networks
    14 years 8 months ago
    Optimized query planning of continuous aggregation queries in dynamic data dissemination networks
    Download  www.cse.iitb.ac.in
    Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of some ...
    Rajeev Gupta, Krithi Ramamritham
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    TKDE
    2012
    487views Formal Methods» more  TKDE 2012»
    Query Planning for Continuous Aggregation Queries over a Network of Data Aggregators
    11 years 10 months ago
    Query Planning for Continuous Aggregation Queries over a Network of Data Aggregators
    Download  www.sundaychennai.com
    —Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of som...
    Rajeev Gupta, Krithi Ramamritham
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    HT
    2009
    ACM
    146views Internet Technology» more  HT 2009»
    Improving recommender systems with adaptive conversational strategies
    14 years 2 months ago
    Improving recommender systems with adaptive conversational strategies
    Download  www.inf.unibz.it
    Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
    Tariq Mahmood, Francesco Ricci
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    AIPS
    2006
    141views Artificial Intelligence» more  AIPS 2006»
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    13 years 9 months ago
    Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
    Download  www.aaai.org
    We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
    Malcolm J. A. Strens
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