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    SIGKDD
    2008
    149views more  SIGKDD 2008»
    Knowledge discovery from sensor data (SensorKDD)
    14 years 9 months ago
    Knowledge discovery from sensor data (SensorKDD)
    Download  www.nd.edu
    Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
    Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
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    BIBM
    2010
    IEEE
    139views Bioinformatics» more  BIBM 2010»
    Scalable, updatable predictive models for sequence data
    14 years 7 months ago
    Scalable, updatable predictive models for sequence data
    Download  www.cs.iastate.edu
    The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
    Neeraj Koul, Ngot Bui, Vasant Honavar
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    BMCBI
    2004
    208views more  BMCBI 2004»
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    14 years 9 months ago
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
    Vadim Alexandrov, Mark Gerstein
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    CLEIEJ
    2008
    115views more  CLEIEJ 2008»
    Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction
    14 years 10 months ago
    Construction of an Attribute-Value Representation for Semi-structured Medical Findings Knowledge Extraction
    Download  www.clei.cl
    Data Mining is a process related to analysis, understanding and knowledge extraction from databases. In order to perform this process it is usually necessary to represent the data...
    Daniel de Faveri Honorato, Everton Alvares Cherman...
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    BIOINFORMATICS
    2006
    92views more  BIOINFORMATICS 2006»
    What should be expected from feature selection in small-sample settings
    14 years 10 months ago
    What should be expected from feature selection in small-sample settings
    Download  gsp.tamu.edu
    Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
    Chao Sima, Edward R. Dougherty
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