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11
Statistical Learning Under Resource Constraints
Statistical Learning Under Resource Constraints
Tai, Kai Sheng. | Stanford University | 2021
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12
Improving Density Functional Theory with Machine Learning
Improving Density Functional Theory with Machine Learning
Dick, Sebastian. | State University of New York at Stony Brook | 2021
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13
Essays on Machine Learning Methods and Household Dynamics
Essays on Machine Learning Methods and Household Dynamics
Sorg-Langhans, George Leopold. | Princeton University | 2021
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14
Machine Learning Models for High-Dimensional Matched Data
Machine Learning Models for High-Dimensional Matched Data
Shomal Zadeh, Nooshin. | Arizona State University | 2021
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15
A New Definition and Classification of Antibody Complementarity Determining Regions: Unsupervised Learning of Protein Backbone Conformations Informs Antibody Structural Bioinformatics and Design
A New Definition and Classification of Antibody Complementarity Determining Regions: Unsupervised Learning of Protein Backbone Conformations Informs Antibody Structural Bioinformatics and Design
Kelow, Simon Paul. | University of Pennsylvania | 2021
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16
Towards Efficient and Effective Privacy-Preserving Machine Learning
Towards Efficient and Effective Privacy-Preserving Machine Learning
Wang, Lingxiao. | University of California, Los Angeles | 2021
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17
Neural Network Learning: A Multiscale-Entropy and Self-Similarity Approach
Neural Network Learning: A Multiscale-Entropy and Self-Similarity Approach
Asadi, Amir Reza. | Princeton University | 2021
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18
Building Theories of Neural Circuits with Machine Learning
Building Theories of Neural Circuits with Machine Learning
Bittner, Sean Robert. | Columbia University | 2021
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19
Centering Learning Theory in the Design and Study of Social Studies-Themed Simulation Games: A Three-Part Study
Centering Learning Theory in the Design and Study of Social Studies-Themed Simulation Games: A Three-Part Study
Kessner, Taylor Milan. | Arizona State University | 2021
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20
Reinforcement Learning for Behavior Planning of Autonomous Vehicles in Urban Scenarios
Reinforcement Learning for Behavior Planning of Autonomous Vehicles in Urban Scenarios
Qiao, Zhiqian. | Carnegie Mellon University | 2021
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