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    BMCBI
    2008
    186views more  BMCBI 2008»
    Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
    13 years 5 months ago
    Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
    Download  www.biomedcentral.com
    Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
    Min Zhang, Dabao Zhang, Martin T. Wells
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    BMCBI
    2007
    162views more  BMCBI 2007»
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
    13 years 5 months ago
    Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis
    Download  www.biomedcentral.com
    Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
    Chun-Chi Liu, Chin-Chung Lin, Ker-Chau Li, Wen-Shy...
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    TSP
    2010
    108views Artificial Intelligence» more  TSP 2010»
    A new parametric GLRT for multichannel adaptive signal detection
    13 years 14 days ago
    A new parametric GLRT for multichannel adaptive signal detection
    Download  www.ece.stevens-tech.edu
    A parametric generalized likelihood ratio test (GLRT) for multichannel signal detection in spatially and temporally colored disturbance was recently introduced by modeling the dist...
    Pu Wang, Hongbin Li, Braham Himed
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    KDD
    2009
    ACM
    217views Data Mining» more  KDD 2009»
    Efficient anomaly monitoring over moving object trajectory streams
    14 years 6 months ago
    Efficient anomaly monitoring over moving object trajectory streams
    Download  www-ai.cs.uni-dortmund.de
    Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
    Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
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    SDM
    2011
    SIAM
    370views Data Mining» more  SDM 2011»
    Sparse Latent Semantic Analysis
    12 years 8 months ago
    Sparse Latent Semantic Analysis
    Download  www.cs.cmu.edu
    Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
    Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
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