In this paper we present an ensemble feature selection approach based on a hierarchical multi-objective genetic algorithm. The algorithm operates in two levels.
Abstract. Feature selection for ensembles has shown to be an effective strategy for ensemble creation due to its ability of producing good subsets of ...
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Abstract. Feature selection for ensembles has shown to be an effective strategy for ensemble creation due to its ability of producing good subsets of ...
In this paper we present an ensemble feature selection approach based on a hierarchical multi-objective genetic algorithm. The algorithm operates in two levels.
Nov 14, 2022 · In this paper, a multi-objective genetic programming (MGP) based algorithm is designed for high-performance imbalanced classification. It is ...
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PDF | Many recent works have investigated methods to select subsets of classifiers instead of combining all available classifiers. The majority of these.
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Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles ; INSPEC Accession Number: ; Persistent Link: ...
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multi-objective genetic algorithm through the criteria of classification ... Evolutionary genetic algorithm based ensemble classification of anticancer.
used to create homogeneous ensembles, while single- and multi-objective genetic algorithms are employed as search algorithms at the selection stage. In this ...
Multi-Objective Genetic Algorithms to Create Ensemble of Classifiers · An ensemble of classifiers with genetic algorithm based feature selection · Pengyi Yang.