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    IS
    2010
    104views Artificial Intelligence» more  IS 2010»
    ROC analysis of a fatigue classifier for vehicular drivers
    13 years 6 months ago
    ROC analysis of a fatigue classifier for vehicular drivers
    Download  discovery.bits-pilani.ac.in
    — Few systems have been developed for the detection of fatigue / stress level of a vehicular driver in order to monitor and control the alertness level for preventing road accide...
    Mahesh M. Bundele, Rahul Banerjee
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    KDD
    2003
    ACM
    449views Data Mining» more  KDD 2003»
    Passenger-based predictive modeling of airline no-show rates
    14 years 8 months ago
    Passenger-based predictive modeling of airline no-show rates
    Download  www.research.ibm.com
    Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
    Richard D. Lawrence, Se June Hong, Jacques Cherrie...
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    BMCBI
    2010
    170views more  BMCBI 2010»
    Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
    13 years 7 months ago
    Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
    Download  www.biomedcentral.com
    Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
    Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
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    SDM
    2010
    SIAM
    259views Data Mining» more  SDM 2010»
    Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
    13 years 9 months ago
    Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
    Download  paul.rutgers.edu
    We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
    Pavel P. Kuksa, Yanjun Qi
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    ICML
    2009
    IEEE
    170views Machine Learning» more  ICML 2009»
    Learning with structured sparsity
    14 years 8 months ago
    Learning with structured sparsity
    Download  stat.rutgers.edu
    This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
    Junzhou Huang, Tong Zhang, Dimitris N. Metaxas
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