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    ESWA
    2006
    122views more  ESWA 2006»
    Transmembrane segments prediction and understanding using support vector machine and decision tree
    13 years 7 months ago
    Transmembrane segments prediction and understanding using support vector machine and decision tree
    Download  www.cs.gsu.edu
    In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
    Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
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    FGCS
    2006
    74views more  FGCS 2006»
    A performance model of non-deterministic particle transport on large-scale systems
    13 years 7 months ago
    A performance model of non-deterministic particle transport on large-scale systems
    Download  www.ccs3.lanl.gov
    In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of a nondeterministic particle transport application, MCNP (Mont...
    Mark M. Mathis, Darren J. Kerbyson, Adolfy Hoisie
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    COMCOM
    2007
    84views more  COMCOM 2007»
    A user-focused evaluation of web prefetching algorithms
    13 years 7 months ago
    A user-focused evaluation of web prefetching algorithms
    Download  www.gii.upv.es
    Web prefetching mechanisms have been proposed to benefit web users by hiding the download latencies. Nevertheless, to the knowledge of the authors, there is no attempt to compare...
    Josep Domènech, Ana Pont, Julio Sahuquillo,...
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    KAIS
    2008
    150views more  KAIS 2008»
    A survey on algorithms for mining frequent itemsets over data streams
    13 years 7 months ago
    A survey on algorithms for mining frequent itemsets over data streams
    Download  www.cs.ust.hk
    The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
    James Cheng, Yiping Ke, Wilfred Ng
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    TIFS
    2008
    129views more  TIFS 2008»
    On Empirical Recognition Capacity of Biometric Systems Under Global PCA and ICA Encoding
    13 years 7 months ago
    On Empirical Recognition Capacity of Biometric Systems Under Global PCA and ICA Encoding
    Download  www.csee.wvu.edu
    Performance of biometric-based recognition systems depends on various factors: database quality, image preprocessing, encoding techniques, etc. Given a biometric database and a se...
    Natalia A. Schmid, Francesco Nicolo
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