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1.
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.
2.
Conditional modeling and conditional inference
by Chang, Lo-Bin, Ph.D.  Brown University. 2010: 199 pages; 3430173.
3.
Connection between Graphical Potential Games and Markov Random Fields with an Extension to Bayesian Networks
by Wang, Shiyun, M.S.  California State University, Long Beach. 2018: 43 pages; 10785804.
4.
Identifying Relationships between Scientific Datasets
by Alawini, Abdussalam, Ph.D.  Portland State University. 2016: 164 pages; 10127966.
7.
Spatial Modeling of Rainfall Accumulated over Short Periods of Time
by Wang, Binbin, Ph.D.  The University of Texas at San Antonio. 2019: 246 pages; 13864692.
8.
Limit theorems for random exponential sums and their applications to insurance and the random energy model
by Erturk, Huseyin, Ph.D.  The University of North Carolina at Charlotte. 2016: 70 pages; 10111893.
9.
Essays on child labor and poverty in the context of a conditional cash transfer program in Nicaragua
by Del Carpio, Ximena V., Ph.D.  University of Southern California. 2010: 131 pages; 3403726.
10.
Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
11.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
12.
Coboundary theorems for collections of random variables with moment conditions
by Morrow, Steven T., Ph.D.  Indiana University. 2012: 52 pages; 3550887.
13.
Detecting, modeling and rendering complex configurations of curvilinear features
by Parilov, Evgueni, Ph.D.  New York University. 2008: 317 pages; 3342392.
14.
Random Harmonic Polynomials
by Thomack, Andrew, Ph.D.  Florida Atlantic University. 2017: 84 pages; 10681500.
15.
PDF modeling of turbulent flows on unstructured grids
by Bakosi, Jozsef, Ph.D.  George Mason University. 2008: 200 pages; 3313843.
16.
Effects of weak electromagnetic fields on Escherichia coli and Staphylococcus aureus
by Smith, Derek A., M.S.  University of Houston-Clear Lake. 2017: 84 pages; 10633335.
17.
Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests
by Jaiantilal, Abhishek, Ph.D.  University of Colorado at Boulder. 2013: 164 pages; 3592307.
18.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
19.
Structure prediction and visualization in molecular biology
by Poultney, Christopher S., Ph.D.  New York University. 2010: 131 pages; 3408352.
20.
Higher-order Random Walk Methods for Data Analysis
by Wu, Tao, Ph.D.  Purdue University. 2018: 135 pages; 10790747.
21.
22.
Three Essays on Intended and not Intended Impacts of Conditional Cash Transfers
by Perova, Elizaveta, Ph.D.  University of California, Berkeley. 2010: 97 pages; 3449054.
23.
Applying Random Forest to Mitigate Cybersecurity Data Breaches in Small Businesses
by Liguori, Patricia Ann, D.Engr.  The George Washington University. 2018: 177 pages; 10928320.
24.
Program inconsistency detection: Universal reachability analysis and conditional slicing
by Tomb, Aaron, Ph.D.  University of California, Santa Cruz. 2011: 182 pages; 3471818.
25.
Generalized Conditional Matching Algorithm for Ordered and Unordered Sets
by Krishnan, Ravikiran, Ph.D.  University of South Florida. 2014: 120 pages; 3666203.
26.
An Imputation-Estimation Algorithm Using Time-Varying Auxiliary Covariates for a Longitudinal Model When Outcome is Missing by Design
by Temprosa, Marinella Gracia Montealegre, Ph.D.  The George Washington University. 2012: 128 pages; 3524075.
27.
Conditional cash transfers and education: United in theory, divorced in policy
by Morais de Sa e Silva, Michelle Graciela, Ph.D.  Columbia University. 2010: 222 pages; 3420885.
28.
Dynamics of 2D Potts and Random-Cluster Models
by Gheissari, Reza, Ph.D.  New York University. 2019: 320 pages; 13810437.
29.
Understanding the Deforestation in the Amazon Using Semiparametric Methods with Group Effects
by Souza Rodrigues, Eduardo Augusto de, Ph.D.  Yale University. 2012: 248 pages; 3525379.
30.
Synthetic collateral debt obligation pricing
by Zhanyong, Liu, M.Sc.  Singapore Management University (Singapore). 2007: 74 pages; 1483222.
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