Search alternatives:
learning approximation » learning application (Expand Search), learning applications (Expand Search), living approximations (Expand Search)
based optimization » whale optimization (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
app based » snp based (Expand Search), ai based (Expand Search)
learning approximation » learning application (Expand Search), learning applications (Expand Search), living approximations (Expand Search)
based optimization » whale optimization (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
app based » snp based (Expand Search), ai based (Expand Search)
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Association between crowding and oral habits.
Published 2025“…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Association between deep bite and oral habits.
Published 2025“…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Breakdown of participants by residential area.
Published 2025“…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Each variable for the dataset.
Published 2025“…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …”
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Data for Reinforcement Learning-based Congestion Control: A Systematic Evaluation of Fairness, Efficiency and Responsiveness
Published 2024“…It also contains some log files generated using sadf processing utility on the binary datafiles. ]</li><li>csvs (folder): contains processed data in csv format.…”
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Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
Published 2025“…Extensive simulation studies for high-dimensional data and deep architectures validate our theoretical results and demonstrate the excellent performance of our algorithms. …”
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Expression vs genomics for predicting dependencies
Published 2024“…If you are interested in trying machine learning, the files Features.hdf5 and Target.hdf5 contain the data munged in a convenient form for standard supervised machine learning algorithms.…”
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GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios
Published 2025“…<p dir="ltr">This dataset has been published in <i>Scientific Data</i>. If you need to cite the data or learn more about how it was generated, please refer to the paper in <i>Scientific Data</i>: Lan, Y., et al. …”