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    RIVF
    2003
    172views Internet Technology» more  RIVF 2003»
    Airspace Sectorization By Constraint Programming
    14 years 11 months ago
    Airspace Sectorization By Constraint Programming
    Download  rivf.e-ifi.org
    —In this paper we consider the Airspace Sectorization Problem (ASP) where airspace has to be partitioned into a number of sectors, each sector being assigned to a team of air tra...
    Huy Trandac, Philippe Baptiste, Vu Duong
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    TREC
    2003
    117views Information Technology» more  TREC 2003»
    Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track
    14 years 11 months ago
    Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track
    Download  trec.nist.gov
    Our participation in TREC 2003 aims to adapt the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) to the robust track and the topic distillation task o...
    Giambattista Amati, Claudio Carpineto, Giovanni Ro...
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    NIPS
    1998
    102views Information Technology» more  NIPS 1998»
    An Entropic Estimator for Structure Discovery
    14 years 11 months ago
    An Entropic Estimator for Structure Discovery
    Download  www.merl.com
    We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
    Matthew Brand
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    UAI
    1997
    148views Artificial Intelligence» more  UAI 1997»
    A Scheme for Approximating Probabilistic Inference
    14 years 11 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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    ACL
    1994
    93views Computational Linguistics» more  ACL 1994»
    A Markov Language Learning Model for Finite Parameter Spaces
    14 years 11 months ago
    A Markov Language Learning Model for Finite Parameter Spaces
    Download  www.aclweb.org
    This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
    Partha Niyogi, Robert C. Berwick
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