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    ESANN
    2004
    232views Neural Networks» more  ESANN 2004»
    Data Mining Techniques on the Evaluation of Wireless Churn
    13 years 6 months ago
    Data Mining Techniques on the Evaluation of Wireless Churn
    Download  www.dice.ucl.ac.be
    This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
    Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...
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    ESANN
    2004
    191views Neural Networks» more  ESANN 2004»
    Face Recognition Using Recurrent High-Order Associative Memories
    13 years 6 months ago
    Face Recognition Using Recurrent High-Order Associative Memories
    Download  www.dice.ucl.ac.be
    A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
    Iulian B. Ciocoiu
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    ESANN
    2004
    117views Neural Networks» more  ESANN 2004»
    Online policy adaptation for ensemble classifiers
    13 years 6 months ago
    Online policy adaptation for ensemble classifiers
    Download  eprints.pascal-network.org
    Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
    Christos Dimitrakakis, Samy Bengio
    posted by olethros
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    ESANN
    2004
    96views Neural Networks» more  ESANN 2004»
    Computational model of amygdala network supported by neurobiological data
    13 years 6 months ago
    Computational model of amygdala network supported by neurobiological data
    Download  www.dice.ucl.ac.be
    Abstract. The amygdala has repeatedly been involved in the processing of emotional reactions and conditioning. This paper presents a neurobiologically inspired computational model ...
    Mélanie Falgairolle, Agnès Gorge, Je...
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    ESANN
    2004
    211views Neural Networks» more  ESANN 2004»
    HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems
    13 years 6 months ago
    HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems
    Download  www.dice.ucl.ac.be
    We compare the use of two Markovian models, HMMs and IOHMMs, to discriminate between three mental tasks for brain computer interface systems using an asynchronous protocol. We show...
    Silvia Chiappa, Nicolas Donckers, Samy Bengio, Fr&...
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    ESANN
    2004
    140views Neural Networks» more  ESANN 2004»
    Sparse Bayesian kernel logistic regression
    13 years 6 months ago
    Sparse Bayesian kernel logistic regression
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    In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
    Gavin C. Cawley, Nicola L. C. Talbot
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    ESANN
    2004
    82views Neural Networks» more  ESANN 2004»
    Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime
    13 years 6 months ago
    Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime
    Download  www.dice.ucl.ac.be
    Bertrand Maillet, Madalina Olteanu, Joseph Rynkiew...
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    ESANN
    2004
    59views Neural Networks» more  ESANN 2004»
    Integrated low noise signal conditioning interface for neuroengineering applications
    13 years 6 months ago
    Integrated low noise signal conditioning interface for neuroengineering applications
    Download  www.micro.dibe.unige.it
    Emanuele Bottino, Sergio Martinoia, Maurizio Valle
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    ESANN
    2004
    123views Neural Networks» more  ESANN 2004»
    Flexible and Robust Bayesian Classification by Finite Mixture Models
    13 years 6 months ago
    Flexible and Robust Bayesian Classification by Finite Mixture Models
    Download  www.dice.ucl.ac.be
    Abstract. The regularized Mahalanobis distance is proposed in the framework of finite mixture models to avoid commonly faced numerical difficulties encountered with EM. Its princip...
    Cédric Archambeau, Frédéric V...
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    ESANN
    2004
    115views Neural Networks» more  ESANN 2004»
    Convergence properties of a fuzzy ARTMAP network
    13 years 6 months ago
    Convergence properties of a fuzzy ARTMAP network
    Download  www.dice.ucl.ac.be
    FAMR (Fuzzy ARTMAP with Relevance factor) is a FAM (Fuzzy ARTMAP) neural network used for classification, probability estimation [3], [2], and function approximation [4]. FAMR uses...
    Razvan Andonie, Lucian Sasu
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