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    TNN
    2010
    145views Management» more  TNN 2010»
    Regularization in matrix relevance learning
    12 years 11 months ago
    Regularization in matrix relevance learning
    Download  www.uni-leipzig.de
    Petra Schneider, Kerstin Bunte, Han Stiekema, Barb...
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    TNN
    2010
    154views Management» more  TNN 2010»
    Discriminative semi-supervised feature selection via manifold regularization
    12 years 11 months ago
    Discriminative semi-supervised feature selection via manifold regularization
    Download  ijcai.org
    We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
    Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
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    TNN
    2010
    147views Management» more  TNN 2010»
    Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks
    12 years 11 months ago
    Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks
    Download  www-users.mat.uni.torun.pl
    In this paper we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph s...
    J. Piersa, Filip Piekniewski, Tomasz Schreiber
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    TNN
    2010
    149views Management» more  TNN 2010»
    A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
    12 years 11 months ago
    A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
    Download  research.microsoft.com
    Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
    Wenming Zheng, Zhouchen Lin, Xiaoou Tang
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    TNN
    2010
    115views Management» more  TNN 2010»
    New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
    12 years 11 months ago
    New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
    Download  larcase.etsmtl.ca
    This paper presents a new approach for identifying and validating the F/A-18 aeroservoelastic model, based on flight flutter tests. The neural network (NN), trained with five diffe...
    N. Boely, R. M. Botez
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    TNN
    2010
    223views Management» more  TNN 2010»
    Linear Discriminant Analysis for Signatures
    12 years 11 months ago
    Linear Discriminant Analysis for Signatures
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    S. Huh, D. Lee
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    TNN
    2010
    182views Management» more  TNN 2010»
    A contrast function for independent component analysis without permutation ambiguity
    12 years 11 months ago
    A contrast function for independent component analysis without permutation ambiguity
    Download  www.i3s.unice.fr
    Vicente Zarzoso, Pierre Comon, Ronald Phlypo
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    TNN
    2010
    130views Management» more  TNN 2010»
    Large developing receptive fields using a distributed and locally reprogrammable address-event receiver
    12 years 11 months ago
    Large developing receptive fields using a distributed and locally reprogrammable address-event receiver
    Download  www.sim.me.uk
    A distributed and locally reprogrammable address event receiver has been designed, in which incoming addressevents are monitored simultaneously by all synapses, allowing for arbitr...
    Simeon A. Bamford, Alan F. Murray, David J. Willsh...
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    TNN
    2010
    234views Management» more  TNN 2010»
    Novel maximum-margin training algorithms for supervised neural networks
    12 years 11 months ago
    Novel maximum-margin training algorithms for supervised neural networks
    Download  webmail.isr.uc.pt
    This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
    Oswaldo Ludwig, Urbano Nunes
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    TNN
    2010
    182views Management» more  TNN 2010»
    A discrete-time neural network for optimization problems with hybrid constraints
    12 years 11 months ago
    A discrete-time neural network for optimization problems with hybrid constraints
    Download  www1.i2r.a-star.edu.sg
    Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
    Huajin Tang, Haizhou Li, Zhang Yi
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