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    TNN
    2010
    132views Management» more  TNN 2010»
    IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification
    12 years 11 months ago
    IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification
    Download  sci2s.ugr.es
    Nearest prototype methods are a successful trend of many pattern classification tasks. However, they present several shortcomings such as time response, noise sensitivity, and Manu...
    Isaac Triguero, Salvador García, Francisco ...
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    TNN
    2010
    233views Management» more  TNN 2010»
    A hierarchical RBF online learning algorithm for real-time 3-D scanner
    12 years 11 months ago
    A hierarchical RBF online learning algorithm for real-time 3-D scanner
    Download  www.dti.unimi.it
    In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
    Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...
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    TNN
    2010
    147views Management» more  TNN 2010»
    State-space analysis of Boolean networks
    12 years 11 months ago
    State-space analysis of Boolean networks
    Download  lsc.amss.ac.cn
    This paper provides a comprehensive framework for the state space approach to Boolean networks. First, it surveys the authors' recent work on the topic: Using semitensor produ...
    Daizhan Cheng, Hongsheng Qi
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    TNN
    2010
    143views Management» more  TNN 2010»
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    12 years 11 months ago
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    Download  www.smartlab.dibe.unige.it
    Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
    Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
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    TNN
    2010
    121views Management» more  TNN 2010»
    Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
    12 years 11 months ago
    Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
    Download  www.machineilab.org
    The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
    Zhang Yi
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    TNN
    2010
    185views Management» more  TNN 2010»
    An adaptive multiobjective approach to evolving ART architectures
    12 years 11 months ago
    An adaptive multiobjective approach to evolving ART architectures
    Download  phoenix.fit.edu
    In this paper, we present the evolution of adaptive resonance theory (ART) neural network architectures (classifiers) using a multiobjective optimization approach. In particular, w...
    Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
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    TNN
    2010
    116views Management» more  TNN 2010»
    Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI
    12 years 11 months ago
    Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI
    Download  www.leonid-perlovsky.com
    Leonid I. Perlovsky
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    TNN
    2010
    155views Management» more  TNN 2010»
    Incorporating the loss function into discriminative clustering of structured outputs
    12 years 11 months ago
    Incorporating the loss function into discriminative clustering of structured outputs
    Download  www.cse.ust.hk
    Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
    Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
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    TNN
    2010
    148views Management» more  TNN 2010»
    Generalized low-rank approximations of matrices revisited
    12 years 11 months ago
    Generalized low-rank approximations of matrices revisited
    Download  parnec.nuaa.edu.cn
    Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
    Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
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    TNN
    2010
    176views Management» more  TNN 2010»
    On the weight convergence of Elman networks
    12 years 11 months ago
    On the weight convergence of Elman networks
    Download  www3.ntu.edu.sg
    Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
    Qing Song
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