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    AI
    2007
    Springer
    181views Artificial Intelligence» more  AI 2007»
    Learning action models from plan examples using weighted MAX-SAT
    13 years 5 months ago
    Learning action models from plan examples using weighted MAX-SAT
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    AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
    Qiang Yang, Kangheng Wu, Yunfei Jiang
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    BMCBI
    2010
    172views more  BMCBI 2010»
    Comparison of evolutionary algorithms in gene regulatory network model inference
    13 years 5 months ago
    Comparison of evolutionary algorithms in gene regulatory network model inference
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    Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
    Alina Sîrbu, Heather J. Ruskin, Martin Crane
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    BMCBI
    2008
    116views more  BMCBI 2008»
    Structuring an event ontology for disease outbreak detection
    13 years 5 months ago
    Structuring an event ontology for disease outbreak detection
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    Background: This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natu...
    Ai Kawazoe, Hutchatai Chanlekha, Mika Shigematsu, ...
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    COMCOM
    2008
    120views more  COMCOM 2008»
    Game theoretic models for detecting network intrusions
    13 years 5 months ago
    Game theoretic models for detecting network intrusions
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    In this paper, we study using game theory the problem of detecting intrusions in wired infrastructure networks. Detection is accomplished by sampling a subset of the transmitted p...
    Hadi Otrok, Mona Mehrandish, Chadi Assi, Mourad De...
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    BMCBI
    2006
    111views more  BMCBI 2006»
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    13 years 5 months ago
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
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    Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
    Tomer Hertz, Chen Yanover
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