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: This study employs linear regression to enhance inventory management, integrating IoT-based data collection for real-time decision-making. By contrasting traditional heuristic models, the ...
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