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1.
Near-optimality and robustness of greedy algorithms for Bayesian pool-based active learning
by Cuong, Nguyen Viet, Ph.D.  National University of Singapore (Singapore). 2015: 124 pages; 10006066.
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The Entropic Dynamics Approach to the Paradigmatic Quantum Mechanical Phenomena
by DiFranzo, Susan, Ph.D.  State University of New York at Albany. 2018: 170 pages; 10786556.
8.
Evaluating new approaches to measure and map soil moisture spatial variability
by Dong, Jingnuo, M.S.  Oklahoma State University. 2013: 63 pages; 1542171.
9.
Test and Evaluation Resource Allocation Using Uncertainty Reduction as a Measure of Test Value
by Bjorkman, Eileen A., Ph.D.  The George Washington University. 2012: 349 pages; 3547993.
10.
Momentum and spin in entropic quantum dynamics
by Nawaz, Shahid, Ph.D.  State University of New York at Albany. 2014: 139 pages; 3672106.
11.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
12.
Prediction Methods for Semi-continuous Data with Applications in Climate Science
by Popuri, Sai Kumar, Ph.D.  University of Maryland, Baltimore County. 2017: 156 pages; 10683046.
13.
Decoding the Computations of Sensory Neurons
by Kaardal, Joel Thomas, Ph.D.  University of California, San Diego. 2017: 143 pages; 10633582.
14.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
15.
The Role of Feedback in the Assimilation of Information in Prediction Markets
by Jolly, Richard Donald, Ph.D.  Portland State University. 2011: 217 pages; 3488241.
16.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
17.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
18.
A Comparison of Variance and Renyi's Entropy with Application to Machine Learning
by Peccarelli, Adric M., M.S.  Northern Illinois University. 2017: 38 pages; 10603911.
20.
Radiation Source Mapping with Bayesian Inverse Methods
by Hykes, Joshua Michael, Ph.D.  North Carolina State University. 2012: 198 pages; 3538540.
22.
The Statistical Mechanics of Biodiversity
by Rominger, Andrew Rominger, Ph.D.  University of California, Berkeley. 2016: 84 pages; 10150924.
23.
Bayesian methods for estimating ROC curves
by Zur, Richard Michael, Ph.D.  The University of Chicago. 2010: 194 pages; 3432839.
24.
A Risk Analysis of the Molybdenum-99 Supply Chain Using Bayesian Networks
by Liang, Jeffrey Ryan, D.Engr.  The George Washington University. 2017: 119 pages; 10263578.
25.
Enumerating the correct number of classes in a semiparametric group-based trajectory model
by Blaze, Thomas James, Ph.D.  University of Pittsburgh. 2014: 207 pages; 3582652.
27.
Design and Analysis of Efficient Parallel Bayesian Model Comparison Algorithms
by Henderson, Robert Wesley, Ph.D.  The University of Mississippi. 2019: 130 pages; 13878635.
28.
Semiparametric Bayesian modeling of density dependence
by Sugeno, Masatoshi, Ph.D.  State University of New York at Stony Brook. 2012: 110 pages; 3517599.
30.
Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
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