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1.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
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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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Ambiguous fragment assignment for high-throughput sequencing experiments
by Roberts, Adam, Ph.D.  University of California, Berkeley. 2013: 93 pages; 3616509.
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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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Analysis of longitudinal latent-variables with two sources of measurement error
by Nussbaum, Amy Elizabeth, Ph.D.  Southern Methodist University. 2015: 185 pages; 3740030.
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Large-Scale, Low-Latency State Estimation Of Cyberphysical Systems With An Application To Traffic Estimation
by Hunter, Timothy Jason, Ph.D.  University of California, Berkeley. 2014: 176 pages; 3686329.
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Two Statistical Methods for Clustering Medicare Claims into Episodes of Care
by Gibbons, Robert Lyon, Ph.D.  University of California, Berkeley. 2011: 135 pages; 3473890.
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3D Image Processing of Two-Photon Microscopy Images Depicting Nanoprobes in Skin
by Bongo, Andrew E., M.S.  Northeastern University. 2011: 98 pages; 1499781.
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Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision
by Chan, Antoni Bert, Ph.D.  University of California, San Diego. 2008: 291 pages; 3331461.
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Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
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Joint Modeling of Longitudinal Count and Binary Data Using Latent Variable Approaches
by Jackson, John C., Ph.D.  The George Washington University. 2011: 123 pages; 3465423.
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Registration of Pre- and Post-Treatment Brain Images with Missing Correspondences
by Dvornek, Nicha Chitphakdithai, Ph.D.  Yale University. 2012: 161 pages; 3535400.
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Optimizing symbol timing, frequency spacing, and SNR estimation for communication systems
by Das, Aniruddha, Ph.D.  University of California, San Diego. 2013: 196 pages; 3567533.
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Grammatical methods in computer vision
by Purdy, Eric, Ph.D.  The University of Chicago. 2013: 212 pages; 3557428.
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Algorithms for Tracking in Clutter and for Sensor Registration
by Crouse, David Frederic, Ph.D.  University of Connecticut. 2011: 313 pages; 3485265.
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Generalized multiple indicators, multiple causes measurement error models
by Tekwe, Carmen D., Ph.D.  State University of New York at Buffalo. 2011: 291 pages; 3440352.
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Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
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Cure Rate Models with Nonparametric Form of Covariate Effects
by Chen, Tianlei, Ph.D.  Virginia Polytechnic Institute and State University. 2015: 105 pages; 10647357.
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Classification accuracy of logistic regression models under misspecifications
by Zhang, Enhan, Ph.D.  New York University. 2014: 137 pages; 3635317.
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Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
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Estimation Methods for Data Subject to Detection Limits
by May, Ryan C., Ph.D.  The University of North Carolina at Chapel Hill. 2012: 75 pages; 3509284.
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New methods in theory & applications of nonlinear filtering
by Papanicolaou, Andrew, Ph.D.  Brown University. 2010: 136 pages; 3430207.
28.
Topics in MIMO networks
by Tajer, Seyed Ali, Ph.D.  Columbia University. 2010: 166 pages; 3447999.
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Statistical phylogenetic methods with applications to virus evolution
by Westesson, Oscar, Ph.D.  University of California, Berkeley. 2012: 258 pages; 3555992.
30.
Cluster analysis for cognitive diagnosis: Theory and applications
by Chiu, Chia-Yi, Ph.D.  University of Illinois at Urbana-Champaign. 2008: 109 pages; 3337778.
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