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    ESANN
    2004
    96views Neural Networks» more  ESANN 2004»
    Computational model of amygdala network supported by neurobiological data
    13 years 10 months ago
    Computational model of amygdala network supported by neurobiological data
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    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 10 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 10 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 10 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 10 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 10 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 10 months ago
    Convergence properties of a fuzzy ARTMAP network
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    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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    ESANN
    2004
    231views Neural Networks» more  ESANN 2004»
    Neural networks for data mining: constrains and open problems
    13 years 10 months ago
    Neural networks for data mining: constrains and open problems
    Download  www.dice.ucl.ac.be
    When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
    Razvan Andonie, Boris Kovalerchuk
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    ESANN
    2004
    144views Neural Networks» more  ESANN 2004»
    An informational energy LVQ approach for feature ranking
    13 years 10 months ago
    An informational energy LVQ approach for feature ranking
    Download  www.dice.ucl.ac.be
    Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a ...
    Razvan Andonie, Angel Cataron
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    ESANN
    2004
    87views Neural Networks» more  ESANN 2004»
    A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
    13 years 10 months ago
    A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
    Download  www.dice.ucl.ac.be
    In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
    Aristoklis D. Anastasiadis, George D. Magoulas, Mi...
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