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    ICML
    2007
    IEEE
    209views Machine Learning» more  ICML 2007»
    Multifactor Gaussian process models for style-content separation
    14 years 9 months ago
    Multifactor Gaussian process models for style-content separation
    Download  www.machinelearning.org
    We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
    Jack M. Wang, David J. Fleet, Aaron Hertzmann
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    IJCNN
    2007
    IEEE
    161views Neural Networks» more  IJCNN 2007»
    Risk Assessment Algorithms Based on Recursive Neural Networks
    14 years 2 months ago
    Risk Assessment Algorithms Based on Recursive Neural Networks
    Download  hal.inria.fr
    — The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
    Alejandro Chinea Manrique De Lara, Michel Parent
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    IJON
    2008
    156views more  IJON 2008»
    Structural identifiability of generalized constraint neural network models for nonlinear regression
    13 years 8 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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    ESANN
    2006
    114views Neural Networks» more  ESANN 2006»
    Non-linear gating network for the large scale classification model CombNET-II
    13 years 10 months ago
    Non-linear gating network for the large scale classification model CombNET-II
    Download  www.dice.ucl.ac.be
    The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the number of the expert classifiers (branch net...
    Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroya...
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    AUTOMATICA
    2006
    150views more  AUTOMATICA 2006»
    Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
    13 years 8 months ago
    Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
    Download  guppy.mpe.nus.edu.sg
    In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
    Chong Jin Ong, Dan Sui, Elmer G. Gilbert
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