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    IJON
    2008
    72views more  IJON 2008»
    Efficient Bayesian inference for harmonic models via adaptive posterior factorization
    13 years 3 months ago
    Efficient Bayesian inference for harmonic models via adaptive posterior factorization
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    Emmanuel Vincent, Mark D. Plumbley
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    IJON
    2008
    152views more  IJON 2008»
    Topos: Spiking neural networks for temporal pattern recognition in complex real sounds
    13 years 3 months ago
    Topos: Spiking neural networks for temporal pattern recognition in complex real sounds
    Download  lsi.vc.ehu.es
    This article depicts the approach used to build the Topos application, a simulation of two-wheel robots able to discern real complex sounds. Topos is framed in the nouvelle concep...
    Pablo González-Nalda, Blanca Cases
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    IJON
    2008
    133views more  IJON 2008»
    A multi-objective approach to RBF network learning
    13 years 3 months ago
    A multi-objective approach to RBF network learning
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    The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) comple...
    Illya Kokshenev, Antônio de Pádua Bra...
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    IJON
    2008
    105views more  IJON 2008»
    Estimating the number of components in a mixture of multilayer perceptrons
    13 years 3 months ago
    Estimating the number of components in a mixture of multilayer perceptrons
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    BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper...
    Madalina Olteanu, Joseph Rynkiewicz
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    IJON
    2008
    93views more  IJON 2008»
    Wavelet-based separation of nonlinear show-through and bleed-through image mixtures
    13 years 4 months ago
    Wavelet-based separation of nonlinear show-through and bleed-through image mixtures
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    Mariana S. C. Almeida, Luis B. Almeida
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    IJON
    2008
    124views more  IJON 2008»
    A dynamic algorithm for blind separation of convolutive sound mixtures
    13 years 4 months ago
    A dynamic algorithm for blind separation of convolutive sound mixtures
    Download  math.uci.edu
    We study an efficient dynamic blind source separation algorithm of convolutive sound mixtures based on updating statistical information in the frequency domain, and minimizing the...
    Jie Liu, Jack Xin, Yingyong Qi
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    IJON
    2008
    156views more  IJON 2008»
    Structural identifiability of generalized constraint neural network models for nonlinear regression
    13 years 4 months ago
    Structural identifiability of generalized constraint neural network models for nonlinear regression
    Download  nlpr-web.ia.ac.cn
    Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
    Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
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    IJON
    2008
    116views more  IJON 2008»
    Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
    13 years 4 months ago
    Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
    Download  www.bcl.hamilton.ie
    Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
    Paul D. O'Grady, Barak A. Pearlmutter
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    IJON
    2008
    88views more  IJON 2008»
    Neural network construction and training using grammatical evolution
    13 years 4 months ago
    Neural network construction and training using grammatical evolution
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    The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
    Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis G...
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    IJON
    2008
    84views more  IJON 2008»
    Prediction error of a fault tolerant neural network
    13 years 4 months ago
    Prediction error of a fault tolerant neural network
    Download  web.nchu.edu.tw
    John Sum, Andrew Chi-Sing Leung
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