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    WSC
    1998
    131views Modeling And Simulation» more  WSC 1998»
    Identifying Important Factors in Deterministic Investment Problems Using Design of Experiments
    13 years 6 months ago
    Identifying Important Factors in Deterministic Investment Problems Using Design of Experiments
    Download  www.informs-sim.org
    For large investment projects sensitivity analysis is an important tool to determine which factors need further analysis and/or can jeopardize the future of a project. In practice...
    Willem J. H. Van Groenendaal, Jack P. C. Kleijnen
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    ICRE
    1996
    IEEE
    132views Software Engineering» more  ICRE 1996»
    Collaboration during conceptual design
    13 years 9 months ago
    Collaboration during conceptual design
    Download  www.cc.gatech.edu
    Conceptual design involves requirements analysis, functional specification, and architectural design. It remains informal and poorly understood. We studied the conceptual design a...
    Lara D. Catledge, Colin Potts
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    EGICE
    2006
    234views Applied Computing» more  EGICE 2006»
    Coordinating Goals, Preferences, Options, and Analyses for the Stanford Living Laboratory Feasibility Study
    13 years 9 months ago
    Coordinating Goals, Preferences, Options, and Analyses for the Stanford Living Laboratory Feasibility Study
    Download  www.stanford.edu
    This paper describes an initial application of Multi-Attribute Collective Decision Analysis for a Design Initiative (MACDADI) on the feasibility study of a mixed-use facility. Firs...
    John Haymaker, John Chachere
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    TOMACS
    2010
    79views more  TOMACS 2010»
    A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
    12 years 12 months ago
    A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
    Download  legacy.orie.cornell.edu
    In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
    Sumit Kunnumkal, Huseyin Topaloglu
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    DGO
    2008
    173views Education» more  DGO 2008»
    The Deliberative E-Rulemaking project (DeER): improving federal agency rulemaking via natural language processing and citizen di
    13 years 6 months ago
    The Deliberative E-Rulemaking project (DeER): improving federal agency rulemaking via natural language processing and citizen di
    Download  www.nick-webb.net
    Many scholars believe that electronic rulemaking has great but largely untapped potential to expand the public's democratic input and improve federal agency regulatory rules....
    Peter Muhlberger, Nick Webb, Jennifer Stromer-Gall...
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