
The author introduces a novel methodology, FSFC, that combines feature selection and classification of functional data efficiently using Functional Principal Components and an innovative variant of the Dual Augmented Lagrangian algorithm.


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Efficient-Algorithm-for-Feature-Selection-in-Functional-Data-Classification


Efficient Algorithm for Feature Selection in Functional Data Classification


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ICE-SEARCH integrates language models with evolutionary algorithms for effective feature selection in medical predictive analytics.


ice-search-language-model-driven-feature-selection-approach-for-medical-predictive-analytics


ICE-SEARCH: Language Model-Driven Feature Selection Approach for Medical Predictive Analytics
