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1.
Remote Homology Detection in Proteins Using Graphical Models
by Daniels, Noah Manus, Ph.D.  Tufts University. 2013: 122 pages; 3563611.
2.
Application of Graphical Models in Protein-Protein Interactions and Dynamics
by Vajdi Hoojghan, Amir, Ph.D.  University of Massachusetts Boston. 2018: 92 pages; 10982841.
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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.
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Graphical User Interface and Teaching Aid for Moment Curvature Analysis
by Warren, John E., M.S.  The George Washington University. 2012: 126 pages; 1515583.
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Parameterizable Process Views in Imperative Process Models
by Fichtner, Myriel, M.Sc.  Universitaet Bayreuth (Germany). 2019: 77 pages; 27600403.
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Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
11.
Graphical user interfaces as updatable views
by Terwilliger, James Felger, Ph.D.  Portland State University. 2009: 304 pages; 3358492.
13.
An algorithmic process for graphical simulation of manipulator motion trajectories
by Bhangaonkar, Praneel, M.S.  Northern Illinois University. 2012: 171 pages; 1513409.
14.
Controlling and evaluating inpainting with attentional models
by Ardis, Paul A., Ph.D.  University of Rochester. 2009: 136 pages; 3395371.
16.
Bayesian generative modeling for complex dynamical systems
by Guan, Jinyan, Ph.D.  The University of Arizona. 2016: 120 pages; 10109036.
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Mind as Theory Engine: Causation, Explanation and Time
by Pacer, Michael D., Ph.D.  University of California, Berkeley. 2016: 380 pages; 10194103.
21.
Learning and inference algorithms for dynamical system models of dextrous motion
by Varadarajan, Balakrishnan, Ph.D.  The Johns Hopkins University. 2011: 169 pages; 3496153.
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Graphical User Interface for the CVIP MATLAB Toolbox with Application to Syrinx Detection in Veterinary Thermographic Images
by Cuellar Buritica, Julian Rene, M.S.  Southern Illinois University at Edwardsville. 2019: 132 pages; 13900325.
24.
Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques
by Foulds, James Richard, Ph.D.  University of California, Irvine. 2014: 287 pages; 3631094.
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Two essays on “mining market basket data: Models and applications in marketing”
by Li, Xiaojun, Ph.D.  The George Washington University. 2008: 80 pages; 3315049.
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Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
27.
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
by Huang, Furong, Ph.D.  University of California, Irvine. 2016: 261 pages; 10125323.
28.
A binary classifier for test case feasibility applied to automatically generated tests of event-driven software
by Robbins, Bryan Thomas, III, Ph.D.  University of Maryland, College Park. 2016: 135 pages; 10128641.
29.
Essays in the Dynamics Bayesian Models in Marketing
by Kim, Bumsoo, Ph.D.  The George Washington University. 2013: 100 pages; 3591693.
30.
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.
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