Abstract: To address the issues of high computational complexity and susceptibility to local optima in traditional satellite selection algorithms for Global Navigation Satellite System (GNSS), this ...
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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