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learning algorithm » learning algorithms (Expand Search)
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level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
learning algorithm » learning algorithms (Expand Search)
element learning » excellent learning (Expand Search), student learning (Expand Search), agent learning (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
complement each » complement 5a (Expand Search), complement c3 (Expand Search), complement c5 (Expand Search)
each algorithm » search algorithm (Expand Search), means algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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Parameters of stimuli used in the study.
Published 2025“…<div><p>This study introduces a neurobiologically inspired computational model based on the predictive coding algorithm, providing insights into coherent motion detection processes. …”
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Zero-Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine Learning
Published 2024“…We demonstrate that SPARKLE significantly outperforms alternative black-box machine learning algorithms on interpolation and extrapolation tasks. …”
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Vibration Nondestructive Testing of Continuous Welded Rails: A Finite Element Analysis
Published 2024“…The frequency content of the vibrations below 700 Hz and across a range of different longitudinal stress and support conditions is computed using the power spectral density, which constitutes the input matrix of a machine learning algorithm able to learn the complex relationship among frequencies, axial stress, and support conditions. …”
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Machine Learning Correlation of Electron Micrographs and ToF-SIMS for the Analysis of Organic Biomarkers in Mudstone
Published 2024“…We use unsupervised ML on scanning electron microscopy–electron dispersive spectroscopy (SEM-EDS) measurements to define compositional categories based on differences in elemental abundances. We then test the ability of four ML algorithmsk-nearest neighbors (KNN), recursive partitioning and regressive trees (RPART), eXtreme gradient boost (XGBoost), and random forest (RF)to classify the ToF-SIM spectra using (1) the categories assigned via SEM-EDS, (2) organic and inorganic labels assigned via SEM-EDS, and (3) the presence or absence of detectable steranes in ToF-SIMS spectra. …”
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Dialogue Propositional Content Replacement (DPCR) code
Published 2025“…This result suggests that fine-grained inferential relations impact on dialogue coherence, complementing the higher-level coherence structures of, for instance, Rhetorical Structure Theory.…”
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Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA.
Published 2024Subjects: -
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Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA.
Published 2024Subjects: -
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