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    ESANN
    2007
    135views Neural Networks» more  ESANN 2007»
    Bat echolocation modelling using spike kernels with Support Vector Regression
    13 years 8 months ago
    Bat echolocation modelling using spike kernels with Support Vector Regression
    Download  www.dice.ucl.ac.be
    Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
    Bertrand Fontaine, Herbert Peremans, Benjamin Schr...
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    CORR
    2007
    Springer
    164views Education» more  CORR 2007»
    Consistency of the group Lasso and multiple kernel learning
    13 years 6 months ago
    Consistency of the group Lasso and multiple kernel learning
    Download  www.di.ens.fr
    We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
    Francis Bach
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    TSMC
    2010
    133views Artificial Intelligence» more  TSMC 2010»
    Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
    13 years 1 months ago
    Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
    Download  users.ecs.soton.ac.uk
    A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
    Sheng Chen, Xia Hong, Chris J. Harris
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    CSDA
    2007
    110views more  CSDA 2007»
    Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes
    13 years 6 months ago
    Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes
    Download  webspace.qmul.ac.uk
    This paper considers modelling spatially varying regression effects for multivariate mortality count outcomes. Alternative approaches to spatial regression heterogeneity are consi...
    P. Congdon
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    NN
    2010
    Springer
    189views Neural Networks» more  NN 2010»
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    13 years 1 months ago
    Sparse kernel learning with LASSO and Bayesian inference algorithm
    Download  www.eis.mdx.ac.uk
    Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
    Junbin Gao, Paul W. Kwan, Daming Shi
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