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    ICML
    2005
    IEEE
    141views Machine Learning» more  ICML 2005»
    Compact approximations to Bayesian predictive distributions
    16 years 5 months ago
    Compact approximations to Bayesian predictive distributions
    Download  www.gatsby.ucl.ac.uk
    We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
    Edward Snelson, Zoubin Ghahramani
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    ICML
    2010
    IEEE
    183views Machine Learning» more  ICML 2010»
    Multiagent Inductive Learning: an Argumentation-based Approach
    15 years 5 months ago
    Multiagent Inductive Learning: an Argumentation-based Approach
    Download  www.icml2010.org
    Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
    Santiago Ontañón, Enric Plaza
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    CLUSTER
    2008
    IEEE
    95views Distributed And Parallel Com...» more  CLUSTER 2008»
    Reinforcement learning for automated performance tuning: Initial evaluation for sparse matrix format selection
    15 years 11 months ago
    Reinforcement learning for automated performance tuning: Initial evaluation for sparse matrix format selection
    Download  iwapt.org
    Warren Armstrong, Alistair P. Rendell
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    CCGRID
    2006
    IEEE
    118views Distributed And Parallel Com...» more  CCGRID 2006»
    The Stakkato Intrusions: What Happened and What Have We Learned?
    15 years 10 months ago
    The Stakkato Intrusions: What Happened and What Have We Learned?
    Download  www.nsc.liu.se
    Leif Nixon
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    PERCOM
    2005
    ACM
    114views Computer Networks» more  PERCOM 2005»
    Re-Conceptualizing Learning Environments: A Framework for Pervasive eLearning
    16 years 4 months ago
    Re-Conceptualizing Learning Environments: A Framework for Pervasive eLearning
    Download  iug.uni-paderborn.de
    Pervasive eLearning requires a novel media perspective on learning objects. Instead of viewing handhelds or smart phones as minimized PCs we would like to propose a perspective on...
    Reinhard Keil-Slawik, Thorsten Hampel, Bernd E&szl...
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