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    AIPS
    2003
    99views Artificial Intelligence» more  AIPS 2003»
    Decision-Theoretic Group Elevator Scheduling
    13 years 8 months ago
    Decision-Theoretic Group Elevator Scheduling
    Download  www.merl.com
    We present an efficient algorithm for exact calculation and minimization of expected waiting times of all passengers using a bank of elevators. The dynamics of the system are rep...
    Daniel Nikovski, Matthew Brand
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    CIDR
    2003
    106views Algorithms» more  CIDR 2003»
    Speculative Query Processing
    13 years 8 months ago
    Speculative Query Processing
    Download  www-db.cs.wisc.edu
    Speculation is an every day phenomenon whereby one acts in anticipation of particular conditions that are likely to hold in the future. Computer science research has seen many suc...
    Neoklis Polyzotis, Yannis E. Ioannidis
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    IJCAI
    2003
    135views Artificial Intelligence» more  IJCAI 2003»
    Writer's Aid: Using a Planner in a Collaborative Interface
    13 years 8 months ago
    Writer's Aid: Using a Planner in a Collaborative Interface
    Download  cis.bentley.edu
    Writer’s Aid is a collaborative system that works simultaneously with an author editing a document providing assistance in identifying and inserting citation keys and autonomous...
    Tamara Babaian, Barbara J. Grosz, Stuart M. Shiebe...
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    UAI
    1997
    148views Artificial Intelligence» more  UAI 1997»
    A Scheme for Approximating Probabilistic Inference
    13 years 8 months ago
    A Scheme for Approximating Probabilistic Inference
    Download  www.ics.uci.edu
    This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
    Rina Dechter, Irina Rish
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    ATAL
    2010
    Springer
    171views Intelligent Agents» more  ATAL 2010»
    Closing the learning-planning loop with predictive state representations
    13 years 8 months ago
    Closing the learning-planning loop with predictive state representations
    Download  www.cs.cmu.edu
    A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
    Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
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