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    AO
    2007
    144views more  AO 2007»
    Social acquisition of ontologies from communication processes
    14 years 11 months ago
    Social acquisition of ontologies from communication processes
    Download  www.model.in.tum.de
    This work introduces a formal framework for the social acquisition of ontologies which are constructed dynamically from overhearing the possibly conflicting symbolic interaction o...
    Matthias Nickles
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    ASC
    2008
    160views Artificial Intelligence» more  ASC 2008»
    Dynamic classification for video stream using support vector machine
    14 years 11 months ago
    Dynamic classification for video stream using support vector machine
    Download  www.people.vcu.edu
    A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
    Mariette Awad, Yuichi Motai
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    BIOINFORMATICS
    2007
    66views more  BIOINFORMATICS 2007»
    Gene expression network analysis and applications to immunology
    14 years 11 months ago
    Gene expression network analysis and applications to immunology
    Download  www-stat.stanford.edu
    We address the problem of using expression data and prior biological knowledge to identify differentially expressed pathways or groups of genes. Following an idea of Ideker et al...
    Serban Nacu, Rebecca Critchley-Thorne, Peter Lee, ...
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    BIOSYSTEMS
    2007
    115views more  BIOSYSTEMS 2007»
    Evolving fuzzy rules to model gene expression
    14 years 11 months ago
    Evolving fuzzy rules to model gene expression
    Download  sci2s.ugr.es
    This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
    Ricardo Linden, Amit Bhaya
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    CN
    2010
    109views more  CN 2010»
    A taxonomy of biologically inspired research in computer networking
    14 years 11 months ago
    A taxonomy of biologically inspired research in computer networking
    Download  irl.cs.ucla.edu
    The natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-org...
    Michael Meisel, Vasileios Pappas, Lixia Zhang
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