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learning optimization » learning motivation (Expand Search), lead optimization (Expand Search)
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binary data » primary data (Expand Search), dietary data (Expand Search)
learning optimization » learning motivation (Expand Search), lead optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
binary state » binary image (Expand Search)
state model » scale model (Expand Search), space model (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf
Published 2024“…A support vector machine (SVM) is attractive because binary classification can be represented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization (QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing—classical, quantum, and hybrid—an attractive approach to explore. …”
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a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset.
Published 2022Subjects: -
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Boxplots analysis of the tested algorithms using average error rate across 21 datasets.
Published 2022Subjects: -
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