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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm used » algorithm based (Expand Search), algorithms based (Expand Search), algorithm using (Expand Search)
used function » used functions (Expand Search), used functional (Expand Search), based function (Expand Search)
algorithm co » algorithm cl (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
co function » cost function (Expand Search), cep function (Expand Search), _ function (Expand Search)
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Performance comparison of different algorithms.
Published 2025Subjects: “…target gravitational function…”
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A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications
Published 2019“…In this study, we developed a Component Overlapping Attribute Clustering (COAC) algorithm to perform the localized (cell subpopulation) gene co-expression network analysis from large-scale scRNA-seq profiles. …”
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Silibinin solubilization: combined effect of co-solvency and inclusion complex formation
Published 2024“…</p> <p>SLB solubility in a buffered solution supplemented by ethanol co-solvent and HP-β-CD complexing agent is a function of free drug present in the semi-aqueous media, the drug-ligand binary complex, and the drug/ligand/co-solvent ternary complex.…”
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Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.
Published 2024“…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.…”
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Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.
Published 2024“…<p>Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.…”
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Flowchart of the specific incarnation of the BO algorithm used in the experiments.
Published 2020“…To choose the next pipeline configuration to evaluate, the BO algorithm uses an Expected Improvement function to trade off maximisation of QS with the need to fully learn the GP. …”
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