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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
tree functional » three functional (Expand Search), time functional (Expand Search), state functional (Expand Search)
python function » protein function (Expand Search)
algorithm tree » algorithm pre (Expand Search), algorithm where (Expand Search), algorithm used (Expand Search)
algorithm i » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
i function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Data_Sheet_1_Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals.docx
Published 2021“…Topological features of the functional connectivity network were analyzed using both the classical graph approach and minimum spanning tree (MST) algorithm. …”
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Data_Sheet_1_Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals.docx
Published 2021“…Topological features of the functional connectivity network were analyzed using both the classical graph approach and minimum spanning tree (MST) algorithm. …”
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Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?
Published 2020“…In order to examine the true power of machine-learning algorithms in scoring function formulation, we have conducted a systematic study of six off-the-shelf machine-learning algorithms, including Bayesian Ridge Regression (BRR), Decision Tree (DT), K-Nearest Neighbors (KNN), Multilayer Perceptron (MLP), Linear Support Vector Regression (L-SVR), and Random Forest (RF). …”
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Artificial Intelligence-Guided <i>De Novo</i> Molecular Design Targeting COVID-19
Published 2021“…A Monte Carlo tree search algorithm combined with a multitask neural network surrogate model for expensive docking simulations, and recurrent neural networks for rollouts, is used in an iterative search and retrain strategy. …”
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Data_Sheet_1_Cognitive Status Predicts Return to Functional Independence After Minor Stroke: A Decision Tree Analysis.docx
Published 2022“…The overall prediction accuracy to the favorable outcome was 80% in the construction cohort and reached 72% accuracy in the validation cohort. This decision tree highlighted the role of cognitive function as a crucial factor for patients to return to their usual activities after a minor stroke. …”
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Comparison between different PSO algorithms on function 1–3.
Published 2019“…<p>Comparison between different PSO algorithms on function 1–3.</p>…”