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    » Modified Line Search Method for Global Optimization
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    WSC
    2004
    105views Modeling And Simulation» more  WSC 2004»
    Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
    15 years 1 months ago
    Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
    Download  espace.library.uq.edu.au
    Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
    Zdravko I. Botev, Dirk P. Kroese
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    93
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    EOR
    2007
    100views more  EOR 2007»
    Parallel radial basis function methods for the global optimization of expensive functions
    15 years 16 days ago
    Parallel radial basis function methods for the global optimization of expensive functions
    Download  sci2s.ugr.es
    We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
    Rommel G. Regis, Christine A. Shoemaker
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    80
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    SIAMJO
    2002
    107views more  SIAMJO 2002»
    A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds
    15 years 7 days ago
    A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds
    Download  rmlewi.people.wm.edu
    We give a pattern search method for nonlinearly constrained optimization that is an adaption of a bound constrained augmented Lagrangian method first proposed by Conn, Gould, and T...
    Robert Michael Lewis, Virginia Torczon
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    ICPR
    2004
    IEEE
    215views computer vision» more  ICPR 2004»
    Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
    16 years 1 months ago
    Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
    Download  packard.csesp.umflint.edu
    Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
    Anil K. Jain, Michael E. Farmer, Shweta Bapna
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    101
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    WCE
    2007
    125views Electrical And Computer Engi...» more  WCE 2007»
    Modified Memory Convergence with Fuzzy PSO
    15 years 1 months ago
    Modified Memory Convergence with Fuzzy PSO
    Download  www.iaeng.org
    —Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentati...
    Subhash Chandra Pandey, P. K. Mishra
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