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    » Intrusion Detection using Continuous Time Bayesian Networks
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    CCS
    2007
    ACM
    175views Security Privacy» more  CCS 2007»
    Analyzing network traffic to detect self-decrypting exploit code
    13 years 11 months ago
    Analyzing network traffic to detect self-decrypting exploit code
    Download  discovery.csc.ncsu.edu
    Remotely-launched software exploits are a common way for attackers to intrude into vulnerable computer systems. As detection techniques improve, remote exploitation techniques are...
    Qinghua Zhang, Douglas S. Reeves, Peng Ning, S. Pu...
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    JMLR
    2008
    148views more  JMLR 2008»
    Linear-Time Computation of Similarity Measures for Sequential Data
    13 years 7 months ago
    Linear-Time Computation of Similarity Measures for Sequential Data
    Download  www.tm.uka.de
    Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
    Konrad Rieck, Pavel Laskov
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    AVSS
    2009
    IEEE
    248views Signal Processing» more  AVSS 2009»
    Bayesian Bio-inspired Model for Learning Interactive Trajectories
    13 years 11 months ago
    Bayesian Bio-inspired Model for Learning Interactive Trajectories
    Download  www.isip40.it
    —Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
    Alessio Dore, Carlo S. Regazzoni
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    BMCBI
    2010
    147views more  BMCBI 2010»
    baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
    13 years 7 months ago
    baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
    Download  www.biomedcentral.com
    Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
    Thomas J. Hardcastle, Krystyna A. Kelly
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    DATAMINE
    2006
    164views more  DATAMINE 2006»
    Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
    13 years 7 months ago
    Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
    Download  www.cse.ohio-state.edu
    Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
    Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
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