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    SDM
    2008
    SIAM
    122views Data Mining» more  SDM 2008»
    Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
    13 years 10 months ago
    Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
    Download  www.weifan.info
    Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
    Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu
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    BMCBI
    2010
    154views more  BMCBI 2010»
    An algorithm for automated closure during assembly
    13 years 9 months ago
    An algorithm for automated closure during assembly
    Download  www.biomedcentral.com
    Background: Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can invol...
    Sergey Koren, Jason R. Miller, Brian Walenz, Grang...
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    DIMVA
    2007
    151views Computer Networks» more  DIMVA 2007»
    On the Adaptive Real-Time Detection of Fast-Propagating Network Worms
    13 years 10 months ago
    On the Adaptive Real-Time Detection of Fast-Propagating Network Worms
    Download  www.icir.org
    Abstract. We present two light-weight worm detection algorithms that offer significant advantages over fixed-threshold methods. The first algorithm, RBS (ratebased sequential hy...
    Jaeyeon Jung, Rodolfo A. Milito, Vern Paxson
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    KBSE
    2002
    IEEE
    133views Software Engineering» more  KBSE 2002»
    Report on the Workshop on the State of the Art in Automated Software Engineering
    14 years 2 months ago
    Report on the Workshop on the State of the Art in Automated Software Engineering
    Download  www.isr.uci.edu
    ort gives their abstracts. s of the position papers Recent Experiences with Code Generation and Task Automation Agents in Software Tools (J. Grundy, J. Hosking) As software grows i...
    Yves Ledru, David F. Redmiles
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    ICMLA
    2009
    170views Machine Learning» more  ICMLA 2009»
    Regularizing the Local Similarity Discriminant Analysis Classifier
    13 years 7 months ago
    Regularizing the Local Similarity Discriminant Analysis Classifier
    Download  ee.washington.edu
    Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
    Luca Cazzanti, Maya R. Gupta
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