Resemblance Coefficient and a Quantum Genetic Algorithm for ...
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In this paper, a novel approach called resemblance coefficient feature selection (RCFS) is proposed. Definition, properties of resemblance coefficient (RC) and ...
Abstract. Feature selection is always an important and difficult issue in pattern recognition, machine learning and data mining.
In this paper, a novel approach called resemblance coefficient feature selection (RCFS) is proposed. Definition, properties of resemblance coefficient (RC) and ...
The proposed QIGA is a revolutionary evolutionary algorithm that combines the technologies concept of quantum computing with conventional genetic algorithms.
Missing: Resemblance | Show results with:Resemblance
Zhang et al. [14] proposed a Quantum Genetic Algorithm (QGA) with a novel resemblance coefficient and applied it to radar-emitting signals datasets. Initially, ...
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Jan 13, 2024 · Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection. October 2004 · Lecture Notes in Computer Science.
Mar 1, 2023 · This study addresses the aforementioned challenges by introducing multifeature fusion and discriminant FS using a novel quantum inspired GA (QIGA).
Missing: Resemblance Coefficient
Sciweavers · Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection.
The main objective of this paper is to make daily predictions about the movement direction of financial time series through classification models.
Jun 21, 2022 · Studies into quantum-enhanced evolutionary algorithms can be examined from a standpoint of leveraging a quantum device and quantum mechanical ...