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1.
Representing Linguistic Knowledge with Probabilistic Models
by Meylan, Stephan Charles, Ph.D.  University of California, Berkeley. 2018: 206 pages; 10931065.
2.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
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Neuronal representations underlying probabilistic sequence discrimination
by Kiggins, Justin, Ph.D.  University of California, San Diego. 2016: 107 pages; 10238991.
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Probabilistic and topological methods in computational geometry
by Dhandapani, Raghavan S., Ph.D.  New York University. 2010: 122 pages; 3396723.
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A continuous probabilistic scene model for aerial imagery
by Crispell, Daniel E., Ph.D.  Brown University. 2010: 143 pages; 3430175.
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Using and Manipulating Probabilistic Connectivity in Social Networks
by DuBois, Thomas, Ph.D.  University of Maryland, College Park. 2011: 194 pages; 3461511.
7.
A Probabilistic Biomarker for Alzheimer's Disease
by Ayhan, Murat Seckin, Ph.D.  University of Louisiana at Lafayette. 2015: 103 pages; 10002384.
8.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
9.
Probabilistic Decentralized Active Vibration Control: Stability, Performance, and Robustness
by D'Angelo, Christopher John, Ph.D.  University of Pittsburgh. 2019: 298 pages; 13813712.
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Probabilistic learning for analysis of sensor-based human activity data
by Hutchins, Jonathan, Ph.D.  University of California, Irvine. 2010: 245 pages; 3432162.
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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.
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Generative Probabilistic Models for Analysis of Communication Event Data with Applications to Email Behavior
by Navaroli, Nicholas Martin, Ph.D.  University of California, Irvine. 2014: 249 pages; 3668831.
20.
Uncertain data integration with probabilities
by Tallur, Gayatri, M.S.  The University of North Carolina at Greensboro. 2013: 57 pages; 1551297.
21.
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.
22.
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.
23.
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.
26.
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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