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    ESANN
    2006
    182views Neural Networks» more  ESANN 2006»
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    13 years 6 months ago
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    Download  www.see.ed.ac.uk
    A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
    Tong Boon Tang, Alan F. Murray
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    ESANN
    2006
    107views Neural Networks» more  ESANN 2006»
    Time series prediction using DirRec strategy
    13 years 6 months ago
    Time series prediction using DirRec strategy
    Download  eprints.pascal-network.org
    This paper demonstrates how the selection of Prediction Strategy is important in the Long-Term Prediction of Time Series. Two strategies are already used in the prediction purposes...
    Antti Sorjamaa, Amaury Lendasse
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    ESANN
    2006
    85views Neural Networks» more  ESANN 2006»
    Synthesis of maximum margin and multiview learning using unlabeled data
    13 years 6 months ago
    Synthesis of maximum margin and multiview learning using unlabeled data
    Download  www.dice.ucl.ac.be
    In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
    Sándor Szedmák, John Shawe-Taylor
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    ESANN
    2006
    94views Neural Networks» more  ESANN 2006»
    Consistent estimation of the architecture of multilayer perceptrons
    13 years 6 months ago
    Consistent estimation of the architecture of multilayer perceptrons
    Download  www.dice.ucl.ac.be
    Abstract. We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done b...
    Joseph Rynkiewicz
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    ESANN
    2006
    111views Neural Networks» more  ESANN 2006»
    Efficient Forward Regression with Marginal Likelihood
    13 years 6 months ago
    Efficient Forward Regression with Marginal Likelihood
    Download  www.dice.ucl.ac.be
    We propose an efficient forward regression algorithm based on greedy optimization of marginal likelihood. It can be understood as a forward selection procedure which adds a new bas...
    Ping Sun, Xin Yao
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    ESANN
    2006
    106views Neural Networks» more  ESANN 2006»
    Using sampling methods to improve binding site predictions
    13 years 6 months ago
    Using sampling methods to improve binding site predictions
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    Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
    Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
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    ESANN
    2006
    109views Neural Networks» more  ESANN 2006»
    Sanger-driven MDSLocalize - a comparative study for genomic data
    13 years 6 months ago
    Sanger-driven MDSLocalize - a comparative study for genomic data
    Download  www.dice.ucl.ac.be
    Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
    Marc Strickert, Nese Sreenivasulu, Udo Seiffert
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    ESANN
    2006
    116views Neural Networks» more  ESANN 2006»
    Visual Data Mining and Machine Learning
    13 years 6 months ago
    Visual Data Mining and Machine Learning
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    Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
    Fabrice Rossi
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    ESANN
    2006
    199views Neural Networks» more  ESANN 2006»
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    13 years 6 months ago
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    Download  www.nada.kth.se
    We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
    Rebecca Steinert, Martin Rehn, Anders Lansner
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    ESANN
    2006
    99views Neural Networks» more  ESANN 2006»
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    13 years 6 months ago
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    Download  www.dice.ucl.ac.be
    We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
    Jochen J. Steil, Risto Koiva, Alessandro Sperduti
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