Now showing items 1-7 of 7
MATEDA: A suite of EDA programs in Matlab
This paper describes MATEDA-2.0, a suite of programs in Matlab for estimation of distribution algorithms. The package allows the optimization of single and multi-objective problems with estimation of distribution algorithms ...
A quantitative analysis of estimation of distribution algorithms based on Bayesian networks
The successful application of estimation of distribution algorithms (EDAs) to solve different kinds of problems has reinforced their candidature as promising black-box optimization tools. However, their internal behavior is ...
A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation
In the machine learning field the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error cannot be exactly calculated and it must be estimated. Therefore, it’s ...
On the application of estimation of distribution algorithms to multi-marker tagging SNP selection
This paper presents an algorithm for the automatic selection of a minimal subset of tagging single nucleotide polymorphisms (SNPs) using an estimation of distribution algorithm (EDA). The EDA stochastically searches the ...
KAF: Kyoto Annotation Framework
This document presents the current draft of KAF: Kyoto Annotation Framework to be used within the KYOTO project. KAF aims to provide a reference format for the representation of semantic annotations.
Skeleton based visual pattern recognition. Applications to tabletop interaction
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2009-12-10)
[EN]The practical context of this thesis work is natural interaction in Interactive Multimedia Tabletops using visually recognized hand gestures. An interaction language has been de ned for the speci c characteristics ...
Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients
(Public Library of Science, 2009-07-20)
Differences in gene expression patterns have been documented not only in Multiple Sclerosis patients versus healthy controls but also in the relapse of the disease. Recently a new gene expression modulator has been identified: ...