Abstract: The recent progress in technology enables a massive collection of databases. Noisy, redundant features significantly affect the machine-learning model's performance. The researchers adopted ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
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