Sciweavers

ESANN
2008
13 years 11 months ago
Explaining Ant-Based Clustering on the basis of Self-Organizing Maps
Ant-based clustering is a nature-inspired technique whereas stochastic agents perform the task of clustering high-dimensional data. This paper analyzes the popular technique of Lum...
Lutz Herrmann, Alfred Ultsch
ESANN
2008
13 years 11 months ago
An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees
In modern thermonuclear fusion devices it is possible to distinguish distinct types of plasma confinement regimes which have different performance in terms of confinement time. Dis...
Guido Vagliasindi, Paolo Arena, Luigi Fortuna, And...
ESANN
2008
13 years 11 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina
ESANN
2008
13 years 11 months ago
Survival SVM: a practical scalable algorithm
This work advances the Support Vector Machine (SVM) based approach for predictive modelling of failure time data as proposed in [1]. The main results concern a drastic reduction in...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
ESANN
2008
13 years 11 months ago
Using the Delta Test for Variable Selection
Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the ta...
Emil Eirola, Elia Liitiäinen, Amaury Lendasse...
ESANN
2008
13 years 11 months ago
Learning Data Representations with Sparse Coding Neural Gas
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
Kai Labusch, Erhardt Barth, Thomas Martinetz
ESANN
2008
13 years 11 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
ESANN
2008
13 years 11 months ago
A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
This paper proposes a methodology named OP-ELM, based on a recent development
Yoan Miche, Patrick Bas, Christian Jutten, Olli Si...
ESANN
2008
13 years 11 months ago
Consistency of Derivative Based Functional Classifiers on Sampled Data
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