18 results with keyword: 'memetic feature selection algorithm based efficient filter search'
In particular, our local search is based on filter method in order to tune the population of Genetic Algorithm (GA) solutions by adding or deleting features based on multivariate
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In the sharp tip calculations using fully turbulent computations, this is most likely too high, which resulted in the fine structures being damped out, with only one bubble
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The rest of the paper is organized into different sections: Section 2 shows the existing feature selection criteria, Section 3 describes the Principal Component
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[17] K.Yanagi, K.Kuriyama, S.Furuichi, Generalized Shannon inequalities based on Tsallis relative operator en- tropy, Linear Algebra Appl. Zou, Operator inequalities associated
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Index Terms—Software Product Lines, Feature Models, Optimal Feature Selection, Multiobjective Optimization, Indicator-Based Evolutionary Algorithm, Search-Based Software
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Index Terms—Software Product Lines, Feature Models, Optimal Feature Selection, Multiobjective Optimization, Indicator-Based Evolutionary Algorithm, Search-Based Software
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The study of travel visa and Vietnam’s tourism policy is an example of an emerging and communist state’s sagacity to enhance its destination attraction as well as increase
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Under these circumstances, in this research, we formulate the new feature point selection problem as combinational optimization one and propose a hybrid metaheuristics through
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Input : LS-SVM Normal Classifier, selected features (normal class), an observed data item x. Output : Lx - the classification label
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The operation of the algorithm consists of using a niching selection method for selecting pairing parents for reproduction, performing different genetic operators on different
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It is concluded that the use of the Cuckoo search algorithm to select the features in the proposed system significantly reduced the time required to retrieve images
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In our research, hybrid algorithm of correlation and causal feature selection is com- pared with Fast Correlation-Based Filter (FCBF), Correlation-based Feature Se- lection
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According to Mayer and Salovey,” it is the ability to perceive and express emotion, assimilate emotion in thought, understand and reason with emotion and regulate emotion
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In this section, the new BSOSV approach consisting of multiple V-shaped transfer functions is presented for binarizing the symbiotic organisms search algorithm for
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Figure 2 shows the iterative process feature gene subset algorithm of N = 500. We can see from the figure above, RWBHS algorithm convergence curve more smooth, the number of
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In this the- sis, we proposed four hierarchical feature selection algorithms (three filter feature selection algorithms and one embedded feature selection algorithm), plus two net-
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Population-based meth- ods include Genetic algorithm, Particle swarm optimization, Ant colony optimization, Scatter search, Memetic algorithm etc.. 2.1 GENETIC
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In product constructions, we will need the concept of both holey generalized Steiner triple systems and disjoint incomplete Latin squares... Hence, we have
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