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    TIP
    2008
    169views more  TIP 2008»
    Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
    13 years 7 months ago
    Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
    Download  www.cise.ufl.edu
    Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
    Adrian M. Peter, Anand Rangarajan
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    GECCO
    2008
    Springer
    170views Optimization» more  GECCO 2008»
    Evolving prediction weights using evolution strategy
    13 years 8 months ago
    Evolving prediction weights using evolution strategy
    Download  www.cs.bham.ac.uk
    The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
    Trung Hau Tran, Cédric Sanza, Yves Duthen
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    ACL
    2008
    153views Computational Linguistics» more  ACL 2008»
    Pairwise Document Similarity in Large Collections with MapReduce
    13 years 9 months ago
    Pairwise Document Similarity in Large Collections with MapReduce
    Download  www.umiacs.umd.edu
    This paper presents a MapReduce algorithm for computing pairwise document similarity in large document collections. MapReduce is an attractive framework because it allows us to de...
    Tamer Elsayed, Jimmy J. Lin, Douglas W. Oard
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    PE
    2006
    Springer
    145views Optimization» more  PE 2006»
    Closed form solutions for mapping general distributions to quasi-minimal PH distributions
    13 years 7 months ago
    Closed form solutions for mapping general distributions to quasi-minimal PH distributions
    Download  www.cs.cmu.edu
    Approximating general distributions by phase-type (PH) distributions is a popular technique in stochastic analysis, since the Markovian property of PH distributions often allows a...
    Takayuki Osogami, Mor Harchol-Balter
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    ESANN
    2001
    116views Neural Networks» more  ESANN 2001»
    Learning fault-tolerance in Radial Basis Function Networks
    13 years 9 months ago
    Learning fault-tolerance in Radial Basis Function Networks
    Download  www.dice.ucl.ac.be
    This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
    Xavier Parra, Andreu Català
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