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    » Using Neural Nets to Estimate Evolutionary Parameters
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    DAGM
    2007
    Springer
    148views Image Processing» more  DAGM 2007»
    Efficient Learning of Neural Networks with Evolutionary Algorithms
    13 years 11 months ago
    Efficient Learning of Neural Networks with Evolutionary Algorithms
    Download  www.ks.informatik.uni-kiel.de
    Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
    Nils T. Siebel, Jochen Krause, Gerald Sommer
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    EACL
    2003
    ACL Anthology
    104views Natural Language Processing» more  EACL 2003»
    Neural Network Probability Estimation for Broad Coverage Parsing
    13 years 8 months ago
    Neural Network Probability Estimation for Broad Coverage Parsing
    Download  homepages.inf.ed.ac.uk
    We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
    James Henderson
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    JCNS
    2010
    103views more  JCNS 2010»
    Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
    13 years 2 months ago
    Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
    Download  www.stat.columbia.edu
    A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
    Shinsuke Koyama, Liam Paninski
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    APIN
    2000
    87views more  APIN 2000»
    The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
    13 years 7 months ago
    The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
    Download  homepages.feis.herts.ac.uk
    : A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
    Neil Davey, Rod Adams, Stella J. George
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    ESANN
    2003
    184views Neural Networks» more  ESANN 2003»
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    13 years 8 months ago
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    Download  www.dice.ucl.ac.be
    In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
    Jianyu Li, Siwei Luo, Yingjian Qi
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