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    HIS
    2003
    89views Information Technology» more  HIS 2003»
    PDGA: the Primal-Dual Genetic Algorithm
    13 years 11 months ago
    PDGA: the Primal-Dual Genetic Algorithm
    Download  www.cs.le.ac.uk
    Abstract. Genetic algorithms (GAs) are a class of search algorithms based on principles of natural evolution. Hence, incorporating mechanisms used in nature may improve the perform...
    Shengxiang Yang
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    OPODIS
    2004
    148views Distributed And Parallel Com...» more  OPODIS 2004»
    Comparison of Failures and Attacks on Random and Scale-Free Networks
    13 years 11 months ago
    Comparison of Failures and Attacks on Random and Scale-Free Networks
    Download  www2.laas.fr
    Abstract. It appeared recently that some statistical properties of complex networks like the Internet, the World Wide Web or Peer-to-Peer systems have an important influence on the...
    Jean-Loup Guillaume, Matthieu Latapy, Cléme...
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    SDM
    2004
    SIAM
    141views Data Mining» more  SDM 2004»
    Visually Mining through Cluster Hierarchies
    13 years 11 months ago
    Visually Mining through Cluster Hierarchies
    Download  www.dbs.informatik.uni-muenchen.de
    Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
    Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
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    IM
    2003
    106views Computer Networks» more  IM 2003»
    A Scalable and Efficient Inter-domain QoS Routing Architecture for Diffserv Networks
    13 years 11 months ago
    A Scalable and Efficient Inter-domain QoS Routing Architecture for Diffserv Networks
    Download  www.tef.mu.edu.tr
    : With Bandwidth Broker (BB) support in each domain, Differentiated Services (Diffserv) is seen as a key technology for achieving QoS guarantees in a scalable, efficient, and deplo...
    Haci A. Mantar, Junseok Hwang, Steve J. Chapin, Ib...
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    UAI
    2003
    102views Artificial Intelligence» more  UAI 2003»
    Learning Module Networks
    13 years 11 months ago
    Learning Module Networks
    Download  jmlr.csail.mit.edu
    Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
    Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
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