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    MAM
    2006
    78views more  MAM 2006»
    Operating system power minimization through run-time processor resource adaptation
    15 years 23 days ago
    Operating system power minimization through run-time processor resource adaptation
    Download  www.ideal.ece.ufl.edu
    The increasingly constrained power budget of today's microprocessor has resulted in a situation where power savings of all components in a system have to be taken into consid...
    Tao Li, Lizy Kurian John
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    118
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    NETWORK
    2008
    106views more  NETWORK 2008»
    An Effective QoS Differentiation Scheme for Wireless Mesh Networks
    15 years 23 days ago
    An Effective QoS Differentiation Scheme for Wireless Mesh Networks
    Download  oplab.im.ntu.edu.tw
    Wireless mesh networking is emerging as an important architecture for future-generation wireless communications systems. Quality of service provisioning is a challenging issue in ...
    Honglin Hu, Yan Zhang, Hsiao-Hwa Chen
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    NLE
    2008
    140views more  NLE 2008»
    Active learning and logarithmic opinion pools for HPSG parse selection
    15 years 23 days ago
    Active learning and logarithmic opinion pools for HPSG parse selection
    Download  homepages.inf.ed.ac.uk
    For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
    Jason Baldridge, Miles Osborne
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    120
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    FGCS
    2007
    125views more  FGCS 2007»
    An autonomic tool for building self-organizing Grid-enabled applications
    15 years 23 days ago
    An autonomic tool for building self-organizing Grid-enabled applications
    Download  staff.icar.cnr.it
    In this paper we present CAMELotGrid, a tool to manage Grid computations of Cellular Automata that support the efficient simulation of complex systems modeled by a very large numb...
    Gianluigi Folino, Giandomenico Spezzano
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    98
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    ML
    2006
    ACM
    142views Machine Learning» more  ML 2006»
    The max-min hill-climbing Bayesian network structure learning algorithm
    15 years 23 days ago
    The max-min hill-climbing Bayesian network structure learning algorithm
    Download  www.dsl-lab.org
    We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
    Ioannis Tsamardinos, Laura E. Brown, Constantin F....
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