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Mutual information for feature selection: estimation or counting?

, , and . Evol. Intell., 9 (3): 95-110 (2016)

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Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms., , , , and . IEEE Trans. Evol. Comput., 24 (1): 170-184 (2020)A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation., , , and . IEEE Trans. Cybern., 51 (2): 589-603 (2021)PSO and Statistical Clustering for Feature Selection: A New Representation., , , and . SEAL, volume 8886 of Lecture Notes in Computer Science, page 569-581. Springer, (2014)A Hybrid GA-GP Method for Feature Reduction in Classification., , and . SEAL, volume 10593 of Lecture Notes in Computer Science, page 591-604. Springer, (2017)Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector., , and . ICDM (Workshops), page 833-842. IEEE, (2021)Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification., , , and . ICDM (Workshops), page 823-832. IEEE, (2021)Evolutionary Computation for Feature Selection in Classification.. Victoria University of Wellington, New Zealand, (2018)base-search.net (ftvuwellington:oai:researcharchive.vuw.ac.nz:10063/7821).Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms., , and . SSCI, page 1762-1769. IEEE, (2019)Filter based backward elimination in wrapper based PSO for feature selection in classification., , , and . IEEE Congress on Evolutionary Computation, page 3111-3118. IEEE, (2014)A Consistent Lebesgue Measure for Multi-label Learning., , , and . CoRR, (2024)