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    GECCO
    2008
    Springer
    179views Optimization» more  GECCO 2008»
    A hybrid method for tuning neural network for time series forecasting
    13 years 11 months ago
    A hybrid method for tuning neural network for time series forecasting
    Download  www.cs.bham.ac.uk
    This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
    Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
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    GECCO
    2005
    Springer
    141views Optimization» more  GECCO 2005»
    Local and global order 3/2 convergence of a surrogate evolutionary algorithm
    14 years 3 months ago
    Local and global order 3/2 convergence of a surrogate evolutionary algorithm
    Download  hal.inria.fr
    A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...
    Anne Auger, Marc Schoenauer, Olivier Teytaud
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    ENTCS
    2007
    190views more  ENTCS 2007»
    Modelling Multicast QoS Routing by using Best-Tree Search in And-or Graphs and Soft Constraint Logic Programming
    13 years 9 months ago
    Modelling Multicast QoS Routing by using Best-Tree Search in And-or Graphs and Soft Constraint Logic Programming
    Download  www.dmi.unipg.it
    We suggest a formal model to represent and solve the multicast routing problem in multicast networks. To attain this, we model the network adapting it to a weighted and-or graph, ...
    Stefano Bistarelli, Ugo Montanari, Francesca Rossi...
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    JMLR
    2012
    221views Programming Languages» more  JMLR 2012»
    Random Search for Hyper-Parameter Optimization
    12 years 11 days ago
    Random Search for Hyper-Parameter Optimization
    Download  jmlr.csail.mit.edu
    Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
    James Bergstra, Yoshua Bengio
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    HPCS
    2005
    IEEE
    116views Distributed And Parallel Com...» more  HPCS 2005»
    High Performance Derivative-Free Optimization Applied to Biomedical Image Registration
    14 years 3 months ago
    High Performance Derivative-Free Optimization Applied to Biomedical Image Registration
    Download  www.imaging.robarts.ca
    Abstract— Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. In this paper, two new, determin...
    Mark P. Wachowiak, Terry M. Peters
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