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    WSC
    2000
    159views Modeling And Simulation» more  WSC 2000»
    A comparison of five steady-state truncation heuristics for simulation
    14 years 11 months ago
    A comparison of five steady-state truncation heuristics for simulation
    Download  www.informs-sim.org
    We compare the performance of five well-known truncation heuristics for mitigating the effects of initialization bias in the output analysis of steady-state simulations. Two of th...
    K. Preston White, Michael J. Cobb, Stephen C. Spra...
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    TRECVID
    2007
    199views Internet Technology» more  TRECVID 2007»
    The MediaMill TRECVID 2007 Semantic Video Search Engine
    14 years 11 months ago
    The MediaMill TRECVID 2007 Semantic Video Search Engine
    Download  www-nlpir.nist.gov
    In this paper we describe our TRECVID 2007 experiments. The MediaMill team participated in two tasks: concept detection and search. For concept detection we extract regionbased im...
    Cees G. M. Snoek, I. Everts, Jan van Gemert, Jan-M...
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    AI
    2006
    Springer
    145views Artificial Intelligence» more  AI 2006»
    Backward-chaining evolutionary algorithms
    14 years 9 months ago
    Backward-chaining evolutionary algorithms
    Download  www.cs.ucl.ac.uk
    Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
    Riccardo Poli, William B. Langdon
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    BMCBI
    2006
    122views more  BMCBI 2006»
    A multivariate prediction model for microarray cross-hybridization
    14 years 9 months ago
    A multivariate prediction model for microarray cross-hybridization
    Download  www.biomedcentral.com
    Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
    Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
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    BMCBI
    2006
    134views more  BMCBI 2006»
    An approach for clustering gene expression data with error information
    14 years 9 months ago
    An approach for clustering gene expression data with error information
    Download  www.biomedcentral.com
    Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
    Brian Tjaden
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