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    TREC
    2003
    81views Information Technology» more  TREC 2003»
    Ranking Function Discovery by Genetic Programming for Robust Retrieval
    13 years 11 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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    COMAD
    2009
    167views Knowledge Management» more  COMAD 2009»
    A Feasibility Study on Automating the Automotive Insurance Claims Processing
    13 years 10 months ago
    A Feasibility Study on Automating the Automotive Insurance Claims Processing
    Download  www.cse.iitb.ac.in
    In this paper, we present a feasibility study in automating the insurance claims processing system related to automotive sector. In automobile insurance claims processing, usually...
    Jayanta Basak, Desmond Lim
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    BMCBI
    2006
    183views more  BMCBI 2006»
    Mining gene expression data by interpreting principal components
    13 years 9 months ago
    Mining gene expression data by interpreting principal components
    Download  www.biomedcentral.com
    Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
    Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
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    BMCBI
    2006
    202views more  BMCBI 2006»
    Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
    13 years 9 months ago
    Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
    Download  www.biomedcentral.com
    Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
    David J. Reiss, Nitin S. Baliga, Richard Bonneau
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    BMCBI
    2006
    150views more  BMCBI 2006»
    Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
    13 years 9 months ago
    Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
    Download  www.biomedcentral.com
    Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
    Alla Bulashevska, Roland Eils
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