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    ML
    2007
    ACM
    104views Machine Learning» more  ML 2007»
    A general criterion and an algorithmic framework for learning in multi-agent systems
    13 years 7 months ago
    A general criterion and an algorithmic framework for learning in multi-agent systems
    Download  ai.stanford.edu
    We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
    Rob Powers, Yoav Shoham, Thuc Vu
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    NIPS
    1994
    142views Information Technology» more  NIPS 1994»
    Combining Estimators Using Non-Constant Weighting Functions
    13 years 9 months ago
    Combining Estimators Using Non-Constant Weighting Functions
    Download  wwwbrauer.in.tum.de
    This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
    Volker Tresp, Michiaki Taniguchi
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    ICOODB
    2010
    171views Database» more  ICOODB 2010»
    Data Model Driven Implementation of Web Cooperation Systems with Tricia
    13 years 5 months ago
    Data Model Driven Implementation of Web Cooperation Systems with Tricia
    Download  wwwmatthes.in.tum.de
    Abstract. We present the data modeling concepts of Tricia, an opensource Java platform used to implement enterprise web information systems as well as social software solutions inc...
    Thomas Büchner, Florian Matthes, Christian Ne...
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    PRDC
    2009
    IEEE
    236views Applied Computing» more  PRDC 2009»
    Evaluating the Use of Reference Run Models in Fault Injection Analysis
    14 years 2 months ago
    Evaluating the Use of Reference Run Models in Fault Injection Analysis
    Download  www2.warwick.ac.uk
    —Fault injection (FI) has been shown to be an effective approach to assessing the dependability of software systems. To determine the impact of faults injected during FI, a given...
    Matthew Leeke, Arshad Jhumka
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    CORR
    2010
    Springer
    180views Education» more  CORR 2010»
    Dependability in Aggregation by Averaging
    13 years 7 months ago
    Dependability in Aggregation by Averaging
    Download  gsd.di.uminho.pt
    Abstract. Aggregation is an important building block of modern distributed applications, allowing the determination of meaningful properties (e.g. network size, total storage capac...
    Paulo Jesus, Carlos Baquero, Paulo Sérgio A...
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