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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    14 years 11 months ago
    Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
    Download  www.cs.berkeley.edu
    In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
    Yitao Duan, John F. Canny
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    EUROSYS
    2009
    ACM
    194views Software Engineering» more  EUROSYS 2009»
    Pointless tainting?: evaluating the practicality of pointer tainting
    15 years 7 months ago
    Pointless tainting?: evaluating the practicality of pointer tainting
    Download  www.cs.vu.nl
    This paper evaluates pointer tainting, an incarnation of Dynamic Information Flow Tracking (DIFT), which has recently become an important technique in system security. Pointer tai...
    Asia Slowinska, Herbert Bos
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    BXML
    2004
    143views Software Engineering» more  BXML 2004»
    Subject Identification in Topic Maps in Theory and Practice
    14 years 11 months ago
    Subject Identification in Topic Maps in Theory and Practice
    Download  www.informatik.uni-leipzig.de
    : If Topic Maps should be exchanged in distributed environments a common semantic problem occurs: Do two Topics refer to the same Subject? If they describe the same Subject the giv...
    Lutz Maicher
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    BMCBI
    2008
    122views more  BMCBI 2008»
    A practical comparison of two K-Means clustering algorithms
    14 years 10 months ago
    A practical comparison of two K-Means clustering algorithms
    Download  www.biomedcentral.com
    Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
    Gregory A. Wilkin, Xiuzhen Huang
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    JMLR
    2010
    129views more  JMLR 2010»
    Approximation of hidden Markov models by mixtures of experts with application to particle filtering
    14 years 4 months ago
    Approximation of hidden Markov models by mixtures of experts with application to particle filtering
    Download  jmlr.csail.mit.edu
    Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
    Jimmy Olsson, Jonas Ströjby
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