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 paper proposes a mode converter design based on an asymmetric dual hollow core antiresonant fiber (ADHC-ARF), which is applicable to high-capacity mode-division multiplexing (MDM) ...
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