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1
Prediction and Classification of G Protein-coupled Receptors Using Statistical and Machine Learning Algorithms
Prediction and Classification of G Protein-coupled Receptors Using Statistical and Machine Learning Algorithms
Ayivor, Fredrick. | The University of Texas at El Paso | 2020
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2
Estimation and Prediction Problems in Missing Data.
Estimation and Prediction Problems in Missing Data.
Yang, Yachong.Statistics and Data Science. | University of Pennsylvania. | 2024
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3
Specifying Optimal Within-Subject Residual Variance-Covariance Structure in Latent Growth Model by Borrowing Power From Machine Learning.
Specifying Optimal Within-Subject Residual Variance-Covariance Structure in Latent Growth Model by Borrowing Power From Machine Learning.
Yang, Junyeong.Educational Studies. | The Ohio State University. | 2024
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4
Improving Geocoding by Incorporating Geographical Hierarchy and Attributes into Transformers Networks- [electronic resource]
Improving Geocoding by Incorporating Geographical Hierarchy and Attributes into Transformers Networks- [electronic resource]
Zhang, Zeyu.Information. | The University of Arizona. | 2023
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5
Two Applications of PDEs in Data Science.
Two Applications of PDEs in Data Science.
Cook, Brendan.Mathematics. | University of Minnesota. | 2022
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6
Representation Learning on Large-Scale Neural and Healthcare Data: A Practitioner's Perspective
Representation Learning on Large-Scale Neural and Healthcare Data: A Practitioner's Perspective
Wu, Tong. | University of Minnesota | 2020
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