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    FEGC
    2010
    161views Biometrics» more  FEGC 2010»
    Detecting anomalies in data streams using statecharts
    13 years 11 months ago
    Detecting anomalies in data streams using statecharts
    Download  liris.cnrs.fr
    The environment around us is progressively equipped with various sensors, producing data continuously. The applications using these data face many challenges, such as data stream i...
    Vasile-Marian Scuturici, Dan-Mircea Suciu, Romain ...
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    EMNLP
    2008
    105views Natural Language Processing» more  EMNLP 2008»
    Learning Graph Walk Based Similarity Measures for Parsed Text
    13 years 11 months ago
    Learning Graph Walk Based Similarity Measures for Parsed Text
    Download  www.cs.cmu.edu
    We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
    Einat Minkov, William W. Cohen
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    GAMEON
    2007
    139views Modeling And Simulation» more  GAMEON 2007»
    Agent Based Virtual Tutorship and E-Learning Techniques Applied to a Business Game Built on System Dynamics
    13 years 11 months ago
    Agent Based Virtual Tutorship and E-Learning Techniques Applied to a Business Game Built on System Dynamics
    Download  www.di.unito.it
    An advanced Business Game is presented in the paper, built on the methodology of System Dynamics. It can be used for cognitive learning and knowledge transmission in schools and U...
    Marco Remondino
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    LWA
    2007
    120views Software Engineering» more  LWA 2007»
    Conceptual Clustering of Social Bookmarking Sites
    13 years 11 months ago
    Conceptual Clustering of Social Bookmarking Sites
    Download  www.tagora-project.eu
    Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but...
    Miranda Grahl, Andreas Hotho, Gerd Stumme
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    NIPS
    2007
    187views Information Technology» more  NIPS 2007»
    Regularized Boost for Semi-Supervised Learning
    13 years 11 months ago
    Regularized Boost for Semi-Supervised Learning
    Download  books.nips.cc
    Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
    Ke Chen 0001, Shihai Wang
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