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    BMCBI
    2008
    125views more  BMCBI 2008»
    Disambiguation of biomedical text using diverse sources of information
    13 years 8 months ago
    Disambiguation of biomedical text using diverse sources of information
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    Background: Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the aut...
    Mark Stevenson, Yikun Guo, Robert J. Gaizauskas, D...
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    BMCBI
    2007
    104views more  BMCBI 2007»
    Using contextual and lexical features to restructure and validate the classification of biomedical concepts
    13 years 8 months ago
    Using contextual and lexical features to restructure and validate the classification of biomedical concepts
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    Background: Biomedical ontologies are critical for integration of data from diverse sources and for use by knowledge-based biomedical applications, especially natural language pro...
    Jung-Wei Fan, Hua Xu, Carol Friedman
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Modeling biochemical transformation processes and information processing with Narrator
    13 years 8 months ago
    Modeling biochemical transformation processes and information processing with Narrator
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    Background: Software tools that model and simulate the dynamics of biological processes and systems are becoming increasingly important. Some of these tools offer sophisticated gr...
    Johannes J. Mandel, Hendrik Fuß, Niall M. Pa...
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    ISF
    2008
    114views more  ISF 2008»
    An OVAL-based active vulnerability assessment system for enterprise computer networks
    13 years 8 months ago
    An OVAL-based active vulnerability assessment system for enterprise computer networks
    Download  www.cfins.au.tsinghua.edu.cn
    Abstract Many security problems are caused by vulnerabilities hidden in enterprise computer networks. It is very important for system administrators to have knowledge about the sec...
    Xiuzhen Chen, Qinghua Zheng, Xiaohong Guan
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    IR
    2006
    130views Natural Language Processing» more  IR 2006»
    A study of mixture models for collaborative filtering
    13 years 8 months ago
    A study of mixture models for collaborative filtering
    Download  www.cs.cmu.edu
    Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
    Rong Jin, Luo Si, Chengxiang Zhai
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