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    ESANN
    2004
    169views Neural Networks» more  ESANN 2004»
    Comparison of different classification methods on castabilty data coming from steelmaking practice
    14 years 28 days ago
    Comparison of different classification methods on castabilty data coming from steelmaking practice
    Download  www.dice.ucl.ac.be
    Abstract. The problem of the prediction of a critical situation during continuous casting in common steelmaking practice is faced through different traditional soft
    Marco Vannucci, Valentina Colla
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    ESANN
    2004
    140views Neural Networks» more  ESANN 2004»
    Linearization identification and an application to BSS using a SOM
    14 years 28 days ago
    Linearization identification and an application to BSS using a SOM
    Download  www.dice.ucl.ac.be
    The one-dimensional functional equation g(y(t)) = cg(z(t)) with known functions y and z and constant c is considered. The indeterminacies are calculated, and an algorithm for appro...
    Fabian J. Theis, Elmar Wolfgang Lang
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    ESANN
    2004
    97views Neural Networks» more  ESANN 2004»
    Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
    14 years 28 days ago
    Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform
    Download  www.biologie.uni-regensburg.de
    We propose an algorithm for recovering the matrix A in X = AS where X is a random vector of lower dimension than S. S is assumed to be sparse in the sense that S has less nonzero e...
    Fabian J. Theis, Pando G. Georgiev, Andrzej Cichoc...
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    ESANN
    2004
    131views Neural Networks» more  ESANN 2004»
    Separability of analytic postnonlinear blind source separation with bounded sources
    14 years 28 days ago
    Separability of analytic postnonlinear blind source separation with bounded sources
    Download  www.dice.ucl.ac.be
    The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
    Fabian J. Theis, Peter Gruber
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    ESANN
    2004
    77views Neural Networks» more  ESANN 2004»
    Three dimensional frames of reference transformations using gain modulated populations of neurons
    14 years 28 days ago
    Three dimensional frames of reference transformations using gain modulated populations of neurons
    Download  www.dice.ucl.ac.be
    This work investigates whether population vector coding could be a principle mechanism for sensorimotor transformations. This paper presents a formal demonstration of how populatio...
    Eric L. Sauser, Aude Billard
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    ESANN
    2004
    87views Neural Networks» more  ESANN 2004»
    Soft-computing techniques for time series forecasting
    14 years 28 days ago
    Soft-computing techniques for time series forecasting
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    One way to contrast the behaviour of different algorithms in the field of timeseries forecasting is to compare the prediction error using a benchmark problem. Another interesting ...
    Ignacio Rojas Ruiz, Héctor Pomares
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    ESANN
    2004
    86views Neural Networks» more  ESANN 2004»
    Regularizing generalization error estimators: a novel approach to robust model selection
    14 years 28 days ago
    Regularizing generalization error estimators: a novel approach to robust model selection
    Download  www.dice.ucl.ac.be
    Abstract. A well-known result by Stein shows that regularized estimators with small bias often yield better estimates than unbiased estimators. In this paper, we adapt this spirit ...
    Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert M...
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    ESANN
    2004
    112views Neural Networks» more  ESANN 2004»
    Clustering functional data with the SOM algorithm
    14 years 28 days ago
    Clustering functional data with the SOM algorithm
    Download  apiacoa.org
    Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by appro...
    Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Go...
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    ESANN
    2004
    110views Neural Networks» more  ESANN 2004»
    Self-organizing context learning
    14 years 28 days ago
    Self-organizing context learning
    Download  www2.in.tu-clausthal.de
    This work is designed to contribute to a deeper understanding of the recently proposed Merging SOM (MSOM). Its context model aims at the representation of sequences, an important s...
    Marc Strickert, Barbara Hammer
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    ESANN
    2004
    71views Neural Networks» more  ESANN 2004»
    Functional preprocessing for multilayer perceptrons
    14 years 28 days ago
    Functional preprocessing for multilayer perceptrons
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    In many applications, high dimensional input data can be considered as sampled functions. We show in this paper how to use this prior knowledge to implement functional preprocessin...
    Fabrice Rossi, Brieuc Conan-Guez
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