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    APBC
    2003
    134views Bioinformatics» more  APBC 2003»
    A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analy
    15 years 2 months ago
    A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analy
    Download  www.acs.org.au
    Nikola K. Kasabov, Melanie Middlemiss, T. Lane
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    MANSCI
    2008
    86views more  MANSCI 2008»
    Modeling and Analysis of Call Center Arrival Data: A Bayesian Approach
    15 years 1 months ago
    Modeling and Analysis of Call Center Arrival Data: A Bayesian Approach
    Download  home.gwu.edu
    Refik Soyer, M. Murat Tarimcilar
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    BIOINFORMATICS
    2010
    99views more  BIOINFORMATICS 2010»
    On the beta-binomial model for analysis of spectral count data in label-free tandem mass spectrometry-based proteomics
    15 years 15 days ago
    On the beta-binomial model for analysis of spectral count data in label-free tandem mass spectrometry-based proteomics
    Download  www.few.vu.nl
    Thang V. Pham, Sander R. Piersma, Marc Warmoes, Co...
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    BMCBI
    2008
    130views more  BMCBI 2008»
    Function approximation approach to the inference of reduced NGnet models of genetic networks
    15 years 1 months ago
    Function approximation approach to the inference of reduced NGnet models of genetic networks
    Download  www.biomedcentral.com
    Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
    Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
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    EUSFLAT
    2001
    183views Fuzzy Logic» more  EUSFLAT 2001»
    On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
    15 years 2 months ago
    On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
    Download  www.eusflat.org
    One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
    Eduard Montseny, Pilar Sobrevilla
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