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2.
Belief based reinforcement learning for data fusion
by Lollett, Carlos, Ph.D.  State University of New York at Buffalo. 2009: 184 pages; 3342148.
3.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
5.
Applications of Genomic Resources and Bayesian Inference Methods to the Breeding of Peach [Prunus persica (L.) Batsch]
by Fresnedo Ramirez, Jonathan, Ph.D.  University of California, Davis. 2014: 168 pages; 3646288.
6.
A new distributed framework for cyber attack detection and classification
by Gutta, Sandeep, M.S.  Oklahoma State University. 2011: 86 pages; 1506488.
7.
Data-driven Techniques for Improving Data Collection in Low-resource Environments
by Chen, Kuang, Ph.D.  University of California, Berkeley. 2011: 101 pages; 3498794.
8.
Bayesian Biclustering on Discrete Data: Variable Selection Methods
by Guo, Lei, Ph.D.  Harvard University. 2013: 143 pages; 3600176.
10.
Six Degrees of Freedom Object Pose Estimation with Fusion Data from a Time-of-flight Camera and a Color Camera
by Sun, Kaipeng, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2014: 195 pages; 27766780.
11.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
12.
Multi-sensor Bayesian estimation interior positioning for stationary and mobile structures
by Tanju, Bereket R., Ph.D.  The George Washington University. 2010: 222 pages; 3433516.
13.
gibbSeq: A new Bayesian method for multiple comparisons for RNA-seq data
by Acheampong, Daniel Asare, M.S.  New Mexico Institute of Mining and Technology. 2017: 77 pages; 10264015.
14.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
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16.
Binding Affinity and Antifungal Activity of Immune-Fusion Proteins against Candida albicans
by Hoang, Vi K. B., M.S.  California State University, Long Beach. 2018: 50 pages; 10825595.
17.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
18.
Use of Data Fusion and SPC in Vibrations Detection
by Kazadi, Marcel M., M.S.  Southern Illinois University at Edwardsville. 2013: 80 pages; 1545819.
20.
Active Collaborative Planning and Sensing in Human-Robot Teams
by Burks, Charles Luke, Ph.D.Eng.  University of Colorado at Boulder. 2020: 181 pages; 28031373.
22.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
23.
A Highly Accurate and Reliable Data Fusion Framework for Guiding the Visually Impaired
by Elmannai, Wafa, Ph.D.  University of Bridgeport. 2018: 192 pages; 10931368.
24.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
25.
A new method for genetic network reconstruction in expression QTL data sets
by Duarte, Christine W., Ph.D.  North Carolina State University. 2009: 84 pages; 3395300.
26.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
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29.
Detection and explanation of statistical differences across a pair of groups
by Sverchkov, Yuriy, Ph.D.  University of Pittsburgh. 2014: 159 pages; 3647988.
30.
Probing the Fusion of Neutron-Rich Nuclei with Modern Radioactive Beam Facilities
by Vadas, Jessica Elizabeth, Ph.D.  Indiana University. 2018: 225 pages; 13423478.
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