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    VLDB
    2005
    ACM
    109views Database» more  VLDB 2005»
    Model-based approximate querying in sensor networks
    14 years 9 months ago
    Model-based approximate querying in sensor networks
    Download  db.csail.mit.edu
    Abstract Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that "the sensornet is a database" i...
    Amol Deshpande, Carlos Guestrin, Samuel Madden, Jo...
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    INFOCOM
    2012
    IEEE
    219views Communications» more  INFOCOM 2012»
    Reverse-engineering BitTorrent: A Markov approximation perspective
    11 years 11 months ago
    Reverse-engineering BitTorrent: A Markov approximation perspective
    Download  www.eecs.berkeley.edu
    Abstract—BitTorrent has been the most popular P2P (Peer-toPeer) paradigm during recent years. Built upon great intuition, the piece-selection and neighbor-selection modules roote...
    Ziyu Shao, Hao Zhang, Minghua Chen, Kannan Ramchan...
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    IPSN
    2004
    Springer
    136views Sensor Networks» more  IPSN 2004»
    Locally constructed algorithms for distributed computations in ad-hoc networks
    14 years 2 months ago
    Locally constructed algorithms for distributed computations in ad-hoc networks
    Download  www.eecs.harvard.edu
    In this paper we develop algorithms for distributed computation of a broad range of estimation and detection tasks over networks with arbitrary but fixed connectivity. The distri...
    Dzulkifli S. Scherber, Haralabos C. Papadopoulos
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    ASPDAC
    2008
    ACM
    154views Hardware» more  ASPDAC 2008»
    Automated techniques for energy efficient scheduling on homogeneous and heterogeneous chip multi-processor architectures
    13 years 10 months ago
    Automated techniques for energy efficient scheduling on homogeneous and heterogeneous chip multi-processor architectures
    Download  www.cecs.uci.edu
    Abstract-- We address performance maximization of independent task sets under energy constraint on chip multi-processor (CMP) architectures that support multiple voltage/frequency ...
    Sushu Zhang, Karam S. Chatha
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    ESANN
    2001
    116views Neural Networks» more  ESANN 2001»
    Learning fault-tolerance in Radial Basis Function Networks
    13 years 10 months ago
    Learning fault-tolerance in Radial Basis Function Networks
    Download  www.dice.ucl.ac.be
    This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
    Xavier Parra, Andreu Català
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