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    NSDI
    2004
    99views Computer Networks» more  NSDI 2004»
    Structure Management for Scalable Overlay Service Construction
    14 years 10 days ago
    Structure Management for Scalable Overlay Service Construction
    Download  www.cs.rochester.edu
    This paper explores the model of providing a common overlay structure management layer to assist the construction of large-scale wide-area Internet services. To this end, we propo...
    Kai Shen
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    ISCAPDCS
    2003
    101views Distributed And Parallel Com...» more  ISCAPDCS 2003»
    Efficient Data Allocation for a Cluster of Workstations
    14 years 10 days ago
    Efficient Data Allocation for a Cluster of Workstations
    Download  www.eng2.uconn.edu
    The development and use of cluster based computing is increasingly becoming an effective approach for solving high performance computing problems. The trend of moving away from sp...
    Ahmed M. Mohamed, Reda A. Ammar, Lester Lipsky
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    MMNS
    2003
    135views Multimedia» more  MMNS 2003»
    Pervasive Accounting of Resource Consumption for Wireless Services with Adaptive QoS
    14 years 10 days ago
    Pervasive Accounting of Resource Consumption for Wireless Services with Adaptive QoS
    Download  lia.deis.unibo.it
    Wireless communications and device miniaturization are enabling pervasive scenarios where the limited resource availability and the wide heterogeneity of access terminals make cruc...
    Paolo Bellavista, Antonio Corradi, Silvia Vecchi
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    SGP
    2003
    85views Computer Graphics» more  SGP 2003»
    Statistical Point Geometry
    14 years 10 days ago
    Statistical Point Geometry
    Download  www.cs.umd.edu
    We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes ...
    Aravind Kalaiah, Amitabh Varshney
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    UAI
    2003
    102views Artificial Intelligence» more  UAI 2003»
    Learning Module Networks
    14 years 10 days 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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