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1.
Performance analysis and inference of communication networks
by Ni, Jian, Ph.D.  Yale University. 2008: 178 pages; 3342752.
2.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
3.
Minimum Disparity Inference for Discrete Ranked Set Sampling Data
by Alexandridis, Roxana, Ph.D.  The Ohio State University. 2005: 137 pages; 10834940.
4.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
5.
Optimizing Machine Translation by Learning to Search
by Galron, Daniel, Ph.D.  New York University. 2012: 218 pages; 3546405.
6.
Reconstructing the evolutionary history of RNA viruses using relaxed molecular clocks
by Wertheim, Joel Okrent, Ph.D.  The University of Arizona. 2009: 146 pages; 3378827.
7.
Using Social Dynamics to Make Individual Predictions: Variational Inference with Stochastic Kinetic Model
by Xu, Zhen, Ph.D.  State University of New York at Buffalo. 2016: 118 pages; 10253123.
8.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
9.
Grammatical formalisms for RNA structure analysis
by Al Seesi, Sahar, Ph.D.  University of Connecticut. 2010: 121 pages; 3420201.
10.
The Method of Batch Inference for Multivariate Diffusions
by Lysy, Martin, Ph.D.  Harvard University. 2012: 120 pages; 3495622.
11.
Statistical inference procedure for step-stress accelerated life testing models
by Lee, Jinsuk, Ph.D.  Arizona State University. 2008: 113 pages; 3338480.
12.
From Event to Story Understanding
by Mostafazadeh, Nasrin, Ph.D.  University of Rochester. 2017: 149 pages; 10618085.
14.
Conceptual understanding of science through archaeological inquiry
by Moe, Jeanne Marie, Ed.D.  Montana State University. 2011: 291 pages; 3454521.
15.
PR-OWL Decision: A Framework for Decision Making with Probabilistic Ontologies
by Matsumoto, Shou, Ph.D.  George Mason University. 2019: 198 pages; 13864553.
16.
Feel, imagine and learn! - Haptic augmented simulation and embodied instruction in physics learning
by Han, In Sook, Ed.D.  Teachers College, Columbia University. 2010: 152 pages; 3425018.
17.
18.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
19.
Black box methods for inferring parallel applications' properties in virtual environments
by Gupta, Ashish, Ph.D.  Northwestern University. 2008: 289 pages; 3303812.
20.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
21.
Randomization inference and principal stratification in HIV prevention studies
by Nolen, Tracy L., Dr.P.H.  The University of North Carolina at Chapel Hill. 2012: 111 pages; 3512798.
23.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
24.
Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
25.
Parallel Junction Tree Algorithm on GPU
by Zheng, Lu, Ph.D.  Carnegie Mellon University. 2013: 94 pages; 3575068.
26.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
27.
On the Usability of Continuous Time Bayesian Networks: Improving Scalability and Expressiveness
by Perreault, Logan Jared, Ph.D.  Montana State University. 2017: 250 pages; 10258540.
28.
General Purpose MCMC Sampling for Bayesian Model Averaging
by Boyles, Levi Beinarauskas, Ph.D.  University of California, Irvine. 2014: 129 pages; 3631086.
29.
Accurate prediction of protein function using GOstruct
by Sokolov, Artem, Ph.D.  Colorado State University. 2011: 90 pages; 3489918.
30.
Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
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