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    TREC
    2003
    81views Information Technology» more  TREC 2003»
    Ranking Function Discovery by Genetic Programming for Robust Retrieval
    13 years 9 months ago
    Ranking Function Discovery by Genetic Programming for Robust Retrieval
    Download  trec.nist.gov
    Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
    Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
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    FLAIRS
    1998
    124views Artificial Intelligence» more  FLAIRS 1998»
    An AI Approach to Computer Assisted Tomography
    13 years 9 months ago
    An AI Approach to Computer Assisted Tomography
    Download  www.aaai.org
    Computer assisted tomography (CAT) systems demandlarge amounts of time and space. In this paper, wedescribe an approachto solving the CAT problemusing several AItechniques includi...
    John F. Kolen, David A. Shamma, Thomas Reichherzer...
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    ECIS
    2000
    163views Information Technology» more  ECIS 2000»
    Metadata-Based Integration of Qualitative and Quantitative Information Resources Approaching Knowledge Management
    13 years 9 months ago
    Metadata-Based Integration of Qualitative and Quantitative Information Resources Approaching Knowledge Management
    Download  is2.lse.ac.uk
    This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and...
    Bodo Rieger, Anja Kleber, Eitel von Maur
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    FOGA
    1998
    106views Artificial Intelligence» more  FOGA 1998»
    Understanding Interactions among Genetic Algorithm Parameters
    13 years 9 months ago
    Understanding Interactions among Genetic Algorithm Parameters
    Download  www.iitk.ac.in
    Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
    Kalyanmoy Deb, Samir Agrawal
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    ANLP
    1997
    137views more  ANLP 1997»
    Probabilistic and Rule-Based Tagger of an Inflective Language- a Comparison
    13 years 9 months ago
    Probabilistic and Rule-Based Tagger of an Inflective Language- a Comparison
    Download  acl.ldc.upenn.edu
    We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
    Jan Hajic, Barbora Hladká
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