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    ESANN
    2008
    139views Neural Networks» more  ESANN 2008»
    A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
    13 years 6 months ago
    A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
    Download  www.dice.ucl.ac.be
    This paper proposes a methodology named OP-ELM, based on a recent development
    Yoan Miche, Patrick Bas, Christian Jutten, Olli Si...
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    ESANN
    2008
    143views Neural Networks» more  ESANN 2008»
    Consistency of Derivative Based Functional Classifiers on Sampled Data
    13 years 6 months ago
    Consistency of Derivative Based Functional Classifiers on Sampled Data
    Download  apiacoa.org
    In some applications, especially spectrometric ones, curve classifiers achieve better performances if they work on the m-order derivatives of their inputs. This paper proposes a sm...
    Fabrice Rossi, Nathalie Villa
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    ESANN
    2008
    123views Neural Networks» more  ESANN 2008»
    Safe exploration for reinforcement learning
    13 years 6 months ago
    Safe exploration for reinforcement learning
    Download  ahans.de
    In this paper we define and address the problem of safe exploration in the context of reinforcement learning. Our notion of safety is concerned with states or transitions that can ...
    Alexander Hans, Daniel Schneegaß, Anton Maxi...
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    ESANN
    2008
    128views Neural Networks» more  ESANN 2008»
    A Method for Time Series Prediction using a Combination of Linear Models
    13 years 6 months ago
    A Method for Time Series Prediction using a Combination of Linear Models
    Download  www.dice.ucl.ac.be
    This paper presents a new approach for time series prediction using local dynamic modeling. The proposed method is composed of three blocks: a Time Delay Line that transforms the o...
    David Martínez-Rego, Oscar Fontenla-Romero,...
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    ESANN
    2008
    149views Neural Networks» more  ESANN 2008»
    Robust object segmentation by adaptive metrics in Generalized LVQ
    13 years 6 months ago
    Robust object segmentation by adaptive metrics in Generalized LVQ
    Download  www.dice.ucl.ac.be
    We investigate the effect of several adaptive metrics in the context of figure-ground segregation, using Generalized LVQ to train a classifier for image regions. Extending the Euc...
    Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
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    ESANN
    2008
    125views Neural Networks» more  ESANN 2008»
    Improvement in Game Agent Control Using State-Action Value Scaling
    13 years 6 months ago
    Improvement in Game Agent Control Using State-Action Value Scaling
    Download  www.dice.ucl.ac.be
    The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
    Leo Galway, Darryl Charles, Michaela M. Black
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    ESANN
    2008
    117views Neural Networks» more  ESANN 2008»
    Machine learning in cancer research: implications for personalised medicine
    13 years 6 months ago
    Machine learning in cancer research: implications for personalised medicine
    Download  www.dice.ucl.ac.be
    Driven by the growing demand of personalization of medical procedures, data-based, computer-aided cancer research in human patients is advancing at an accelerating pace, providing ...
    Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisbo...
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    ESANN
    2008
    138views Neural Networks» more  ESANN 2008»
    Active and reactive use of virtual neural sensors
    13 years 6 months ago
    Active and reactive use of virtual neural sensors
    Download  www.dice.ucl.ac.be
    This paper addresses the possible use of virtual neural sensors, implemented by means of weightless systems, as active or reactive sensors. The latter, made possible by the intrins...
    Massimo De Gregorio
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    ESANN
    2008
    91views Neural Networks» more  ESANN 2008»
    Neuromimetic motion indicator for visual perception
    13 years 6 months ago
    Neuromimetic motion indicator for visual perception
    Download  www.dice.ucl.ac.be
    This paper presents a bio-inspired model for visual perception of motion through its principal indicator : the neuromimetic motion indicator (NMI). This indicator emerges out of th...
    Claudio Castellanos Sánchez
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    ESANN
    2008
    110views Neural Networks» more  ESANN 2008»
    A multiple testing procedure for input variable selection in neural networks
    13 years 6 months ago
    A multiple testing procedure for input variable selection in neural networks
    Download  www.dice.ucl.ac.be
    In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
    Michele La Rocca, Cira Perna
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