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    » Minimizing the number of late jobs in a stochastic setting u...
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    ECCC
    2000
    140views more  ECCC 2000»
    Randomized Approximation Schemes for Scheduling Unrelated Parallel Machines
    13 years 5 months ago
    Randomized Approximation Schemes for Scheduling Unrelated Parallel Machines
    Download  www.cti.gr
    We consider the problem of Scheduling n Independent Jobs on m Unrelated Parallel Machines, when the number of machines m is xed. We address the standard problem of minimizing the ...
    Pavlos Efraimidis, Paul G. Spirakis
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    TELSYS
    2008
    85views more  TELSYS 2008»
    Trustworthy Web services provisioning for differentiated customer services
    13 years 6 months ago
    Trustworthy Web services provisioning for differentiated customer services
    Download  www4.ncsu.edu
    With the number of e-Business applications dramatically increasing, a service level agreement (SLA) will play an important part in Web services. The SLA is a combination of severa...
    Kaiqi Xiong, Harry G. Perros
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 6 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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    SDM
    2012
    SIAM
    252views Data Mining» more  SDM 2012»
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    11 years 8 months ago
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    Download  david.grangier.info
    Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
    Xiaoxiao Shi, Jean-François Paiement, David...
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