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New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination
(2012-12-27)
Methods for generating a new population are a fundamental component of estimation of distribution algorithms (EDAs). They serve to transfer the information contained in the probabilistic model to the new generated population. ...
Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms
(2011)
Conducting research in order to know the range of problems in which a search
algorithm is effective constitutes a fundamental issue to understand the algorithm
and to continue the development of new techniques. In this ...
Classification of neocortical interneurons using affinity propagation
(Frontiers Reseach Foundation, 2013-12)
In spite of over a century of research on cortical circuits, it is still unknown how many classes of cortical neurons exist. Neuronal classification has been a difficult problem because it is unclear what a neuronal cell ...
A detailed investigation of classification methods for vowel speech imagery recognition
(2013-12-18)
Accurate and fast decoding of speech imagery from electroencephalographic (EEG) data could serve as a basis for a new generation of brain computer interfaces (BCIs), more portable and easier to use. However, decoding of ...
Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation
(IEEE, 2020)
The tool-path problem has been extensively studied in manufacturing technologies, as it has a considerable impact on production time. Additive manufacturing is one of these technologies; it takes time to fabricate parts, ...
Transfer learning in hierarchical dialogue topic classification with neural networks
(IEEE, 2020-09-28)
Knowledge transfer between tasks can significantly improve the efficiency of machine learning algorithms. In supervised natural language understanding problems, this sort of improvement is critical since the availability ...
Analysis of the Sensitivity of the End-Of-Turn Detection Task to Errors Generated by the Automatic Speech Recognition Process
(Elsevier, 2021-04)
An End-Of-Turn Detection Module (EOTD-M) is an essential component of automatic Spoken Dialogue Systems. The capability of correctly detecting whether a user?s utterance has ended or not improves the accuracy in interpreting ...
A Review of Estimation of Distribution Algorithms in Bioinformatics
(Biomed Central, 2008-09-11)
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most ...
MATEDA: A suite of EDA programs in Matlab
(2009)
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
(2009)
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 ...