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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm basis » algorithm based (Expand Search), algorithms based (Expand Search), algorithm ai (Expand Search)
basis functions » basis function (Expand Search), loss functions (Expand Search), based functional (Expand Search)
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The result of Wilcoxon signed-rand test.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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The Simulation and optimization process of pipe diameter selection.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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Optional pipe diameter and unit price of NYN.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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Optional pipe diameter and unit price of HN.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics
Published 2021“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
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Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics
Published 2021“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
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97
Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures.
Published 2023“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”
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Schematic depiction of the updating rules used for the RL-Elo and Sequential Monte Carlo (SMC) algorithms
Published 2019“…If the choice made was correct, its value is adjusted as a function of how far that value was from its expectation, adjusted by a learning rate δ. …”
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99
The ALO algorithm optimization flowchart.
Published 2024“…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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The IALO algorithm solution flowchart.
Published 2024“…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”