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 ...
Abstract: Software testing is crucial in verifying that system functionality meets specified requirements, especially in safety-critical railway control applications. This research employs Model-Based ...
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