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    APPINF
    2003
    341views Information Technology» more  APPINF 2003»
    Seismic Signal Analysis using Correlation Dimension
    13 years 9 months ago
    Seismic Signal Analysis using Correlation Dimension
    Download  www.cs.unm.edu
    Multifractal analysis is a new and promising approach to analyze and characterize non-stationary signals such as seismic signals, electrocardiograms, heart rate variability signal...
    Soundararajan Ezekiel, Matthew J. Barrick, Matthew...
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    COMSUR
    2008
    108views more  COMSUR 2008»
    A survey of techniques for internet traffic classification using machine learning
    13 years 7 months ago
    A survey of techniques for internet traffic classification using machine learning
    Download  caia.swin.edu.au
    The research community has begun looking for IP traffic classification techniques that do not rely on `well known' TCP or UDP port numbers, or interpreting the contents of pac...
    Thuy T. T. Nguyen, Grenville J. Armitage
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    JMLR
    2006
    131views more  JMLR 2006»
    On Representing and Generating Kernels by Fuzzy Equivalence Relations
    13 years 7 months ago
    On Representing and Generating Kernels by Fuzzy Equivalence Relations
    Download  jmlr.csail.mit.edu
    Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
    Bernhard Moser
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    IR
    2010
    203views Natural Language Processing» more  IR 2010»
    Statistical query expansion for sentence retrieval and its effects on weak and strong queries
    13 years 5 months ago
    Statistical query expansion for sentence retrieval and its effects on weak and strong queries
    Download  www.gsi.dec.usc.es
    The retrieval of sentences that are relevant to a given information need is a challenging passage retrieval task. In this context, the well-known vocabulary mismatch problem arises...
    David E. Losada
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    SDM
    2008
    SIAM
    138views Data Mining» more  SDM 2008»
    Learning Markov Network Structure using Few Independence Tests
    13 years 9 months ago
    Learning Markov Network Structure using Few Independence Tests
    Download  www.cs.cmu.edu
    In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
    Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
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