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1.
PR-OWL Decision: A Framework for Decision Making with Probabilistic Ontologies
by Matsumoto, Shou, Ph.D.  George Mason University. 2019: 198 pages; 13864553.
3.
A continuous probabilistic scene model for aerial imagery
by Crispell, Daniel E., Ph.D.  Brown University. 2010: 143 pages; 3430175.
4.
Early prediction of student goals and affect in narrative-centered learning environments
by Lee, Sunyoung, Ph.D.  North Carolina State University. 2008: 98 pages; 3329207.
5.
Short term load forecasting with recency effect: Models and applications
by Liu, Bidong, Ph.D.  The University of North Carolina at Charlotte. 2016: 151 pages; 10111881.
7.
Control of Isometric Force in the Rat Hindlimb Using Functional Electrical Stimulation
by Jarc, Anthony Michael, Ph.D.  Northwestern University. 2011: 168 pages; 3489360.
8.
Quantifying the Impacts of Initial Condition and Model Uncertainty on Hydrological Forecasts
by DeChant, Caleb Matthew, Ph.D.  Portland State University. 2014: 185 pages; 3628148.
9.
A Probabilistic Biomarker for Alzheimer's Disease
by Ayhan, Murat Seckin, Ph.D.  University of Louisiana at Lafayette. 2015: 103 pages; 10002384.
11.
Development of distress and performance models of composite pavements for pavement management
by Fang, Xiazhi, Ph.D.  The University of North Carolina at Charlotte. 2017: 120 pages; 10269558.
12.
Activity-based travel demand model: Application and innovation
by Siyu, Li, Ph.D.  National University of Singapore (Singapore). 2015: 223 pages; 10006042.
13.
14.
Design Day Analysis - Forecasting Extreme Daily Natural Gas Demand
by Kaftan, David, M.S.  Marquette University. 2018: 107 pages; 10825062.
15.
Use of probabilistic inversion to model qualitative expert input when selecting a new nuclear reactor technology
by Merritt, Charles R., Jr., D.Sc.  The George Washington University. 2008: 112 pages; 3297448.
16.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
17.
Representing Linguistic Knowledge with Probabilistic Models
by Meylan, Stephan Charles, Ph.D.  University of California, Berkeley. 2018: 206 pages; 10931065.
20.
Simulation-Based Design and Material Modeling for ENT Implants
by Matthew, Chua Chin Heng, Ph.D.  National University of Singapore (Singapore). 2015: 190 pages; 10005990.
22.
Learning and inference algorithms for dynamical system models of dextrous motion
by Varadarajan, Balakrishnan, Ph.D.  The Johns Hopkins University. 2011: 169 pages; 3496153.
23.
Stochastic particle tracking modeling for sediment transport in open channel flows
by Oh, Jungsun, Ph.D.  State University of New York at Buffalo. 2011: 182 pages; 3460786.
24.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
25.
Multi-level adaptation for performability in dynamic web service workflows
by Ramakrishnan, Lavanya, Ph.D.  Indiana University. 2009: 315 pages; 3378395.
26.
Consideration of Elevation Uncertainty in Coastal Flood Models
by Amante, Christopher Joseph, Ph.D.  University of Colorado at Boulder. 2018: 150 pages; 10844867.
27.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
28.
Use of hydroclimatic forecasts for improved water management in central Texas
by Wei, Wenge, Ph.D.  Michigan Technological University. 2010: 135 pages; 3439136.
29.
Performance-based engineering framework for earthquake and fire following earthquake
by Carlton, Aerik, M.S.  Michigan Technological University. 2013: 75 pages; 1552728.
30.
Stochastic Cellular Manufacturing System Design and Control
by Egilmez, Gokhan, Ph.D.  Ohio University. 2012: 257 pages; 10631052.
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