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    ESANN
    2000
    95views Neural Networks» more  ESANN 2000»
    The K.U.Leuven competition data: a challenge for advanced neural network techniques
    14 years 24 days ago
    The K.U.Leuven competition data: a challenge for advanced neural network techniques
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    In this paper we shortly discuss the K.U. Leuven time-series prediction competition, which has been held in the framework of the International Workshop on Advanced Black-Box Techni...
    Johan A. K. Suykens, Joos Vandewalle
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    ESANN
    2000
    87views Neural Networks» more  ESANN 2000»
    A new information criterion for the selection of subspace models
    14 years 24 days ago
    A new information criterion for the selection of subspace models
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    The problem of model selection is considerably important for acquiring higher levels of generalization capability in supervised learning. In this paper, we propose a new criterion ...
    Masashi Sugiyama, Hidemitsu Ogawa
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    ESANN
    2000
    146views Neural Networks» more  ESANN 2000»
    Curve forecast with the SOM algorithm: using a tool to follow the time on a Kohonen map
    14 years 24 days ago
    Curve forecast with the SOM algorithm: using a tool to follow the time on a Kohonen map
    Download  www.dice.ucl.ac.be
    Patrick Rousset
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    ESANN
    2000
    88views Neural Networks» more  ESANN 2000»
    Support Vector Committee Machines
    14 years 24 days ago
    Support Vector Committee Machines
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    Abstract. This paper proposes a mathematical programming framew ork for combining SVMs with possibly di erent kernels. Compared to single SVMs, the advantage of this approach is tw...
    Dominique Martinez, Gilles Millerioux
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    ESANN
    2000
    97views Neural Networks» more  ESANN 2000»
    A neural network architecture for automatic segmentation of fluorescence micrographs
    14 years 24 days ago
    A neural network architecture for automatic segmentation of fluorescence micrographs
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    A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
    Tim W. Nattkemper, Heiko Wersing, Walter Schubert,...
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    ESANN
    2000
    104views Neural Networks» more  ESANN 2000»
    Nonlinear prediction of spatio-temporal time series
    14 years 24 days ago
    Nonlinear prediction of spatio-temporal time series
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    Abstract. A prediction scheme for spatio-temporal time series is presented that is based on reconstructed local states. As a numerical example the ev olution of a Kuramoto-Sivashin...
    Ulrich Parlitz, Christian Merkwirth
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    ESANN
    2000
    130views Neural Networks» more  ESANN 2000»
    Confidence estimation methods for neural networks : a practical comparison
    14 years 24 days ago
    Confidence estimation methods for neural networks : a practical comparison
    Download  www.dice.ucl.ac.be
    Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
    Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
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    ESANN
    2000
    141views Neural Networks» more  ESANN 2000»
    Learning VOR-like stabilization reflexes in robots
    14 years 24 days ago
    Learning VOR-like stabilization reflexes in robots
    Download  www.dice.ucl.ac.be
    We present a binocular robot that learns compensatory camera movements for image stabilization purposes. Most essential in achieving satisfactory image stabilization performance i...
    Francesco Panerai, Giorgio Metta, Giulio Sandini
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    ESANN
    2000
    105views Neural Networks» more  ESANN 2000»
    Quantum iterative algorithm for image reconstruction problems
    14 years 24 days ago
    Quantum iterative algorithm for image reconstruction problems
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    Iterative algorithm based on quantum tunneling is proposed by making use of mean- eld approximation. W e apply our method to the problem of BW image reconstruction (IR). Its perfor...
    Jun-ichi Inoue
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    ESANN
    2000
    163views Neural Networks» more  ESANN 2000»
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    14 years 24 days ago
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    Download  www.ist.temple.edu
    Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
    Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
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