Search alternatives:
larger decrease » marked decrease (Expand Search)
latent decrease » latency decreased (Expand Search), largest decrease (Expand Search), content decreased (Expand Search)
laser decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a latent » _ latent (Expand Search), _ patent (Expand Search)
larger decrease » marked decrease (Expand Search)
latent decrease » latency decreased (Expand Search), largest decrease (Expand Search), content decreased (Expand Search)
laser decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a latent » _ latent (Expand Search), _ patent (Expand Search)
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K-means++ clustering algorithm.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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Table_1_Burnout Profiles Among Young Researchers: A Latent Profile Analysis.DOCX
Published 2022“…Introduction<p>Burnout is a growing problem among young researchers, affecting individuals, organizations and society. …”
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Participant retention flowchart.
Published 2025“…We identified a 4-class solution: (1) severe with appetite decrease, (2) severe with appetite increase, (3) moderate severity and (4) low severity. …”
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Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features
Published 2019“…We use ideas from Bayesian nonparametrics to automatically infer the appropriate number of these latent characteristics. The resulting analysis couples high predictive performance with interpretability since each latent characteristic involves a typically small set of drugs, cell lines and genomic features. …”
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