The role of classifiers in feature selection: Number vs nature
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Wrapper feature selection approaches are widely used to select a small subset of relevant features from a dataset.
Chrysostomou, Kyriacos Andrews
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A Framework for Integrating Large Language Models into Memetic Algorithms. [PDF]
Sakharov M.
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LS-BMO-HDBSCAN as a hybrid memetic bacterial intelligence framework for efficient data clustering. [PDF]
Al-Nussairi AKJ +9 more
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Memetic Salp Swarm Algorithm for economic load dispatch problems. [PDF]
Awadallah MA +6 more
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A fuzzy system based self-adaptive memetic algorithm using population diversity control for evolutionary multi-objective optimization. [PDF]
Subburaj B, Miruna Joe Amali S.
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SPRING, an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging. [PDF]
Colombo A +42 more
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Smart medical system integrating clinical workflows for robust skin cancer detection across heterogeneous pathologies. [PDF]
Abugabah A +3 more
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A memetic algorithm for finding multiple subgraphs that optimally cover an input network. [PDF]
He X, Wang Y, Du H, Feldman MW.
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A memetic algorithm for portfolio mining
Due to economic crisis, some hedge funds and investment banks face the prospect of bankruptcy, including those that are well managed. This brings about the idea of portfolio management, an area extensively discussed in the journals and economic papers ...
Duan, Van Khanh.
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Optimizing feature selection in cancer microarray data using a heap-driven evolutionary framework for high-dimensional spaces. [PDF]
Alweshah M +5 more
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