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Algorithms for Sparse Support Vector Machines
Published 2022“…In the support vector machine literature, variable selection is achieved by <math><mrow><msub><mrow><mi>l</mi></mrow><mn>1</mn></msub></mrow></math> penalties. …”
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An expectation-maximization algorithm for finding noninvadable stationary states.
Published 2020“…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…”
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Python cv coding screenshots of all developed fingerprints on distinct surfaces.
Published 2024Subjects: -
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025Subjects: “…continuous optimization algorithm…”
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Electrochemical Sensor to Detect Antibiotics in Milk Based on Machine Learning Algorithms
Published 2023“…The gradient boosting algorithm showed the best efficiency in training the machine learning model. …”
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The flowchart for the MBHA algorithm.
Published 2023“…Furthermore, the proposed MBHA achieved a high rate of convergence on six real datasets (collected from the UCL machine learning lab), making it suitable for DC problems. …”
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The Pseudocode of MBHA algorithm.
Published 2023“…Furthermore, the proposed MBHA achieved a high rate of convergence on six real datasets (collected from the UCL machine learning lab), making it suitable for DC problems. …”
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Data_Sheet_1_Combined brain network topological metrics with machine learning algorithms to identify essential tremor.docx
Published 2022“…The combination of graph theory (GT) analysis with machine learning (ML) algorithms provides a promising way to identify ET from healthy controls (HCs) at the individual level, and further help to reveal the topological pathogenesis in ET.…”