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learning algorithm » learning algorithms (Expand Search)
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learning algorithm » learning algorithms (Expand Search)
predict learning » predictive learning (Expand Search), policy learning (Expand Search), reduced learning (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
wold algorithm » rl algorithm (Expand Search), box algorithm (Expand Search), colony algorithm (Expand Search)
elements wold » elements wt (Expand Search)
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PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS
Published 2025Subjects: -
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Performance of the machine learning algorithms.
Published 2025“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”
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Performance of the machine learning algorithms.
Published 2025“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”
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(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm.
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Performance of models in predicting AI speaker users by machine learning algorithm.
Published 2024“…<p>Performance of models in predicting AI speaker users by machine learning algorithm.…”
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Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty
Published 2025“…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …”
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Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality.
Published 2025“…<p>Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality.</p>…”
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A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm.
Published 2025“…Increasing values of κ flattening the relationship between prediction errors and learning rates, leading to lower learning rates for a given magnitude of the prediction error. …”
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