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    SIGECOM
    2008
    ACM
    158views ECommerce» more  SIGECOM 2008»
    Information revelation and random entry in sequential ascending auctions
    14 years 9 months ago
    Information revelation and random entry in sequential ascending auctions
    Download  www.econ.yale.edu
    We examine a model in which multiple buyers with single-unit demand are faced with an infinite sequence of auctions. New buyers arrive on the market probabilistically, and are each...
    Maher Said
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    TCS
    2008
    89views Theoretical Computer Science» more  TCS 2008»
    Scheduling to maximize participation
    14 years 9 months ago
    Scheduling to maximize participation
    Download  www.ceid.upatras.gr
    We study a problem of scheduling client requests to servers. Each client has a particular latency requirement at each server and may choose either to be assigned to some server in ...
    Ioannis Caragiannis, Christos Kaklamanis, Panagiot...
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    JUCS
    2007
    89views more  JUCS 2007»
    Mashups: Emerging Application Development Paradigm for a Digital Journal
    14 years 9 months ago
    Mashups: Emerging Application Development Paradigm for a Digital Journal
    Download  www.jucs.org
    : The WWW is currently experiencing a revolutionary growth due to its increasing participative community software applications. This paper highlights an emerging application develo...
    Narayanan Kulathuramaiyer
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    COGSCI
    2004
    53views more  COGSCI 2004»
    On the spontaneous discovery of a mathematical relation during problem solving
    14 years 9 months ago
    On the spontaneous discovery of a mathematical relation during problem solving
    Download  csjarchive.cogsci.rpi.edu
    People spontaneously discover new representations during problem solving. Discovery of a mathematical representation is of special interest, because it shows that the underlying s...
    James A. Dixon, Ashley S. Bangert
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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
    14 years 9 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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