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    WSCG
    2003
    170views more  WSCG 2003»
    Experimental System for Visualization of the Light Load
    14 years 24 days ago
    Experimental System for Visualization of the Light Load
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    This paper presents our work on an experimental system for visualization of the light load. The light load is thought as the total amount of light radiation received by all areas ...
    Martin Cadík, Pavel Slavík, Jan Prik...
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    UAI
    2003
    122views Artificial Intelligence» more  UAI 2003»
    Monte-Carlo optimizations for resource allocation problems in stochastic network systems
    14 years 24 days ago
    Monte-Carlo optimizations for resource allocation problems in stochastic network systems
    Download  www.cs.pitt.edu
    Real-world distributed systems and networks are often unreliable and subject to random failures of its components. Such a stochastic behavior affects adversely the complexity of o...
    Milos Hauskrecht, Tomás Singliar
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    AAAI
    2000
    106views Intelligent Agents» more  AAAI 2000»
    Monte Carlo Localization with Mixture Proposal Distribution
    14 years 24 days ago
    Monte Carlo Localization with Mixture Proposal Distribution
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    Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
    Sebastian Thrun, Dieter Fox, Wolfram Burgard
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    WSCG
    2004
    158views more  WSCG 2004»
    Fully Automatic Elastic Registration of MR Images with Statistical Feature Extraction
    14 years 24 days ago
    Fully Automatic Elastic Registration of MR Images with Statistical Feature Extraction
    Download  www.cosy.sbg.ac.at
    We present a fully automatic scheme for the registration of MR images. The registration is carried out as a combination of an affine and an elastic transformation. The affine part...
    Martin Held, Werner Weiser, Franz Wilhelmstöt...
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    WSC
    2004
    120views Modeling And Simulation» more  WSC 2004»
    Approximating Free Exercise Boundaries for American-Style Options Using Simulation and Optimization
    14 years 24 days ago
    Approximating Free Exercise Boundaries for American-Style Options Using Simulation and Optimization
    Download  www.informs-sim.org
    Monte Carlo simulation can be readily applied to asset pricing problems with multiple state variables and possible path dependencies because convergence of Monte Carlo methods is ...
    Barry R. Cobb, John M. Charnes
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    WSC
    2004
    135views Modeling And Simulation» more  WSC 2004»
    On Using Monte Carlo Methods for Scheduling
    14 years 24 days ago
    On Using Monte Carlo Methods for Scheduling
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    Monte Carlo techniques have long been used (since Buffon's experiment to approximate the value of by tossing a needle onto striped paper) to analyze phenomena which, due to ...
    Samarn Chantaravarapan, Ali K. Gunal, Edward J. Wi...
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    WSC
    2004
    136views Modeling And Simulation» more  WSC 2004»
    Monte Carlo Methods for American Options
    14 years 24 days ago
    Monte Carlo Methods for American Options
    Download  www.informs-sim.org
    We review the basic properties of American options and the difficulties of applying Monte Carlo valuation to American options. Recent progress on the Least Squares Monte Carlo (LS...
    Russel E. Caflisch, Suneal Chaudhary
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    WSC
    2001
    117views Modeling And Simulation» more  WSC 2001»
    Monte Carlo simulation approach to stochastic programming
    14 years 24 days ago
    Monte Carlo simulation approach to stochastic programming
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    Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
    Alexander Shapiro
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    VMV
    2001
    108views Visualization» more  VMV 2001»
    A Theoretical Comparison of Monte Carlo Radiosity Algorithms
    14 years 24 days ago
    A Theoretical Comparison of Monte Carlo Radiosity Algorithms
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    In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
    Philippe Bekaert, Hans-Peter Seidel
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    IJCAI
    2003
    111views Artificial Intelligence» more  IJCAI 2003»
    Monte Carlo Theory as an Explanation of Bagging and Boosting
    14 years 24 days ago
    Monte Carlo Theory as an Explanation of Bagging and Boosting
    Download  www.di.unito.it
    In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...
    Roberto Esposito, Lorenza Saitta
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