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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 11 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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    DLT
    2007
    111views Theoretical Computer Science» more  DLT 2007»
    Two Element Unavoidable Sets of Partial Words
    13 years 11 months ago
    Two Element Unavoidable Sets of Partial Words
    Download  www.uncg.edu
    d Abstract) F. Blanchet-Sadri1 , N.C. Brownstein2 , and Justin Palumbo3 1 Department of Computer Science, University of North Carolina, P.O. Box 26170, Greensboro, NC 27402–6170,...
    Francine Blanchet-Sadri, N. C. Brownstein, Justin ...
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    EUSFLAT
    2007
    156views Fuzzy Logic» more  EUSFLAT 2007»
    Fuzzy Calculating and Fuzzy Control in Wireless Sensor Network
    13 years 11 months ago
    Fuzzy Calculating and Fuzzy Control in Wireless Sensor Network
    Download  www.eusflat.org
    At present time configurable wireless sensor networks are given special consideration. Wireless sensor networks are now a static elements union. To make such a network a powerful ...
    Irina Kalganova
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    IWRT
    2008
    82views Communications» more  IWRT 2008»
    Tag Loss Probability Evaluation for a Continuous Flow of Tags in the EPC-Global Standard
    13 years 11 months ago
    Tag Loss Probability Evaluation for a Continuous Flow of Tags in the EPC-Global Standard
    Download  ait.upct.es
    Abstract. This paper addresses the evaluation of a passive RFID system under a continuous flow of tag arrivals and departures, for instance, in a conveyor belt installation. In suc...
    Javier Vales-Alonso, M. Victoria Bueno-Delgado, Es...
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    NIPS
    2008
    143views Information Technology» more  NIPS 2008»
    Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
    13 years 11 months ago
    Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
    Download  www.cs.cmu.edu
    The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
    Liu Yang, Rong Jin, Rahul Sukthankar
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