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    ESANN
    1998
    87views Neural Networks» more  ESANN 1998»
    Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
    13 years 6 months ago
    Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
    Download  www.mmk.e-technik.tu-muenchen.de
    Abstract. In this paper, we focus on a novel NN/HMM architecture for continuous speech recognition. The architecture incorporates a neural feature extraction to gain more discrimin...
    Daniel Willett, Gerhard Rigoll
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    ESANN
    1998
    142views Neural Networks» more  ESANN 1998»
    Lazy learning for control design
    13 years 6 months ago
    Lazy learning for control design
    Download  www.dice.ucl.ac.be
    This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
    Gianluca Bontempi, Mauro Birattari, Hugues Bersini
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    ESANN
    1998
    170views Neural Networks» more  ESANN 1998»
    Recurrent SOM with local linear models in time series prediction
    13 years 6 months ago
    Recurrent SOM with local linear models in time series prediction
    Download  www.dice.ucl.ac.be
    Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
    Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
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    ESANN
    2004
    87views Neural Networks» more  ESANN 2004»
    Soft-computing techniques for time series forecasting
    13 years 6 months ago
    Soft-computing techniques for time series forecasting
    Download  www.dice.ucl.ac.be
    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
    2000
    95views Neural Networks» more  ESANN 2000»
    The K.U.Leuven competition data: a challenge for advanced neural network techniques
    13 years 6 months ago
    The K.U.Leuven competition data: a challenge for advanced neural network techniques
    Download  www.dice.ucl.ac.be
    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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