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31.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
32.
A continuous probabilistic scene model for aerial imagery
by Crispell, Daniel E., Ph.D.  Brown University. 2010: 143 pages; 3430175.
33.
Essays on forecasting
by Tanlu, Lloyd John D., D.B.A.  Harvard University. 2009: 107 pages; 3392392.
34.
Probabilistic learning for analysis of sensor-based human activity data
by Hutchins, Jonathan, Ph.D.  University of California, Irvine. 2010: 245 pages; 3432162.
35.
Probabilistic Decentralized Active Vibration Control: Stability, Performance, and Robustness
by D'Angelo, Christopher John, Ph.D.  University of Pittsburgh. 2019: 298 pages; 13813712.
36.
Forecasting Inflation in Asian Economies
by Liew, Chian Fatt Freddy, M.Sc.  Singapore Management University (Singapore). 2012: 51 pages; 1519237.
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Probabilistic models of phase variables for visual representation and neural dynamics
by Cadieu, Charles, Ph.D.  University of California, Berkeley. 2009: 120 pages; 3402686.
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PR-OWL Decision: A Framework for Decision Making with Probabilistic Ontologies
by Matsumoto, Shou, Ph.D.  George Mason University. 2019: 198 pages; 13864553.
42.
Spatio-temporal modeling of Twitter data
by Jiang, Nan, Ph.D.  Stevens Institute of Technology. 2015: 68 pages; 10186877.
44.
Identification of Supply Chain Cost Drivers in Primary Care in the United States
by Essila Mvogo, Jean Clement, D.Engr.  The George Washington University. 2018: 96 pages; 10688299.
46.
A Probabilistic Drought Recovery Assessment Model Using Remote Sensing and Ground-based Observations
by Love, Charlotte Anne, M.S.  University of California, Irvine. 2019: 31 pages; 13806226.
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Three Essays on Macroeconomic Forecasting
by Hutson, Mark Duffield, Ph.D.  The George Washington University. 2015: 191 pages; 3719383.
49.
Uncertain data integration with probabilities
by Tallur, Gayatri, M.S.  The University of North Carolina at Greensboro. 2013: 57 pages; 1551297.
51.
Robust Resource Allocation of Independent Tasks in Heterogeneous Computing Systems via Probabilistic Task Pruning
by Gentry, James A. S., M.S.  University of Louisiana at Lafayette. 2018: 88 pages; 10843501.
52.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
53.
An End-to-End Framework for Control Synthesis from Demonstrations via Probabilistic Automata Learning
by Renninger, Nicholas, M.S.  University of Colorado at Boulder. 2020: 111 pages; 28087127.
54.
A Delphi Method study forecasting a sustainable schoolhouse
by Patterson, Jeremiah, Ed.D.  Lewis and Clark College. 2013: 131 pages; 3559056.
55.
Kernel Analog Forecasting with Applications to Tropical Atmospheric Dynamics
by Alexander, Romeo, Ph.D.  New York University. 2020: 164 pages; 27667739.
56.
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.
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