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2.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
3.
5.
Optimization Methods Combining Variable Splitting with Deep Learning
by Cowen, Benjamin, Ph.D.  New York University Tandon School of Engineering. 2019: 136 pages; 13882605.
6.
Incorporating Real-Time Estimates of Physiological States in Artificial Pancreas Systems
by Sevil, Mert, Ph.D.  Illinois Institute of Technology. 2020: 187 pages; 27838041.
8.
Extraction of Behavioral Dynamics and Learning Rules in Decision-Making Experiments
by Roy, Nicholas A., Ph.D.  Princeton University. 2020: 91 pages; 27999726.
9.
Optimization and analysis of a CFJ-airfoil using adaptive meta-model based design optimization
by Whitlock, Michael D., M.S.  California State University, Long Beach. 2015: 82 pages; 1598660.
10.
Finding Critical and Gradient-Flat Points of Deep Neural Network Loss Functions
by Frye, Charles Gearhart, Ph.D.  University of California, Berkeley. 2020: 90 pages; 27957645.
11.
Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization
by Chen, Zhaozhong, M.S.  University of Colorado at Boulder. 2018: 51 pages; 10789260.
12.
The Optimization and Application of Behavioral Analysis on the Planarian Flatworm Schmidtea mediterranea
by Haines, Jessica N., M.S.  Southern Illinois University at Edwardsville. 2019: 70 pages; 22592078.
15.
Wavelet frames on the sphere, high angular resolution diffusion imaging and l1-regularized optimization on Stiefel manifolds
by Weiqiang, Chen, M.Sc.  National University of Singapore (Singapore). 2015: 161 pages; 10005982.
16.
Investigating the Genetic Basis of Gene Expression Using EQTL Techniques
by Quitadamo, Andrew, Ph.D.  The University of North Carolina at Charlotte. 2018: 84 pages; 10979471.
17.
Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
18.
Statistical Tests for Optimization Efficiency
by Boyles, Levi Beinarauskas, M.S.  University of California, Irvine. 2010: 45 pages; 1483253.
19.
Extraterrestrial resource prospecting using particle swarm optimization and conflict based search
by Johnson, Michael, M.S.  University of New Hampshire. 2016: 128 pages; 10250995.
20.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
21.
Delaunay-based Global Optimization Algorithms and their Applications
by Beyhaghi, Pooriya, Ph.D.  University of California, San Diego. 2016: 266 pages; 10190624.
22.
Disrupted Pathways: Generating Tunable Macromolecular Assembly Pathways
by Briggs, Koan E. M., Ph.D.  University of Kansas. 2018: 120 pages; 13419290.
23.
Representation Learning for Text: Transfer Learning, Decomposition, and Bias in Neural Networks
by Romanov, Alexey, Ph.D.  University of Massachusetts Lowell. 2019: 103 pages; 22624438.
25.
Three Applications of Gaussian Process Modeling in Evaluation of Longevity Risk Management
by Risk, James Kenneth, Ph.D.  University of California, Santa Barbara. 2017: 245 pages; 10620897.
27.
Applications on Multi-Dimensional Sphere Packings: Derivative-Free Optimization
by Belitz, Paul, Ph.D.  University of California, San Diego. 2011: 197 pages; 3474121.
28.
Autonomic Performance Optimization with Application to Self-Architecting Software Systems
by Ewing, John M., Ph.D.  George Mason University. 2015: 207 pages; 3706982.
30.
Prioritization of Open Source Defects Using Predictive Models
by Martinez, Jorge E., D.Engr.  The George Washington University. 2020: 164 pages; 28088873.
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