selection methods
TítuloNovel feature selection methods for high dimensional data
... As was explained above, the evaluation of the feature selection methods is done by counting the number of correct/wrong features. However, it is also interesting and a common practice in the literature ...
372
An analysis on selection methods and multirecombination in evolutionary search when solving the job shop scheduling problem
... crossover methods studied (scanning or adjacency based crossover), there is an indication that for any (n 1 ,n 2 ) association, uniform approaches had better performance than those based on ...
11
Contrasting main selection methods in genetic algorithms
... algorithms selection mechanisms aim to favour reproduction of better individuals imposing a direction on the search ...“goodness”, selection introduces the influence of the fitness function to the ...
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Two new feature selection algorithms with rough sets theory
... feature selection methods implemented with Pattern Recognition (PR) [Alv05], Estimation of Distribution Algorithms (EDA) (epigraph 2) and Ant Colony Optimization Algorithms (ACO) ...these methods are ...
8
TítuloEvolutionary computation and QSAR research
... use methods from various fields such as molecular modeling, pattern recognition, machine learning or artificial ...descriptors, selection of relevant variables in the context of the analyzed activity, and ...
29
TítuloA comparison of performance of K complex classification methods using feature selection
... feature selection methods were employed. Feature selection is arguably the most popular dimensionality reduction technique, whose goal is to obtain a subset of features that properly describes the ...
14
Feature selection with simple ANN ensembles
... feature selection methods, its extension to “wide” datasets, with a high number of variables (even thousands) measured over a few samples (usually less than a hundred) ...feature selection becomes ...
10
A systematic mapping study of software development with GitHub
... empirical methods of research works, targeting the analysis of how software development practices are influenced by the use of a distributed social coding platform like ...
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METHODS AND MATERIALS Molecular methods
... Eleven unlinked polymorphic microsatellite loci and one monomorphic locus were scored (Hellborg et al. 2002) using primers developed for the domestic cat Felis catus (Menotti-Raymond et al. 1999). Typical polymerase ...
5
Expert knowledge-guided feature selection for data-based industrial process monitoring
... 17. C. Uribe, C. Isaza, O. Gualdron, C. Duran, A. Carvajal, A wrapper approach based on clustering for sensors selection of industrial monitoring systems. Proceedings of the 2010 International Conference on ...
14
Methods for measurement-based COTS assessments and selection
... Abstract. During recent years, new software engineering paradigms like component-based software engineering and COTS-based development have emerged. Both paradigms are concerned with reuse and customisation of existing ...
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Optimización heurística multiobjetivo para la gestión de activos de infraestructuras de transporte terrestre
... optimization methods mainly used are mathematical programming and near-optimization ...near-optimization methods, too little attention has been paid to heuristic algorithms, which so far have only been ...
383
MTE RL Reactor Selection Tables
... This table is suitable for selection of both input & output 3-phase reactors because their harmonic compensation & conservative design allow them to be used in either application. Specific current & ...
6