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121.
Random Linear Network Coding with Added Prefix Bits
by Mickey, Joshua, M.S.  University of Louisiana at Lafayette. 2017: 68 pages; 10682547.
122.
Minimalist multi-agent filtering and guidance
by Bobadilla Molina, Jaime Leonardo, Ph.D.  University of Illinois at Urbana-Champaign. 2013: 141 pages; 3614523.
123.
124.
Reinforcement Learning in Structured and Partially Observable Environments
by Azizzadenesheli, Kamyar, Ph.D.  University of California, Irvine. 2019: 170 pages; 13896671.
125.
Learning Neural Representations that Support Efficient Reinforcement Learning
by Stachenfeld, Kimberly, Ph.D.  Princeton University. 2018: 155 pages; 10824319.
126.
Creating Profiles of Suspicious Behavior to Locate Plausible Evidence of Targeted Attacks
by LeDoux, Charles, Ph.D.  University of Louisiana at Lafayette. 2016: 179 pages; 10245924.
128.
Using Social Dynamics to Make Individual Predictions: Variational Inference with Stochastic Kinetic Model
by Xu, Zhen, Ph.D.  State University of New York at Buffalo. 2016: 118 pages; 10253123.
130.
Manipulating Electromagnetic Fields in Colloidal Metal Nanoparticle Systems
by Shepherd, Nolan Miller, Ph.D.  The University of Chicago. 2019: 123 pages; 10977604.
131.
New methods in theory & applications of nonlinear filtering
by Papanicolaou, Andrew, Ph.D.  Brown University. 2010: 136 pages; 3430207.
133.
Fine-scale Properties of Random Functions
by Courcy-Ireland, Matthew de, Ph.D.  Princeton University. 2018: 138 pages; 10933151.
134.
Particle filtering for stochastic control and global optimization
by Zhou, Enlu, Ph.D.  University of Maryland, College Park. 2009: 138 pages; 3372999.
135.
Simulation-based methods for stochastic control and global optimization
by Wang, Yongqiang, Ph.D.  University of Maryland, College Park. 2011: 195 pages; 3478991.
136.
Scheduling policy design using stochastic dynamic programming
by Glaubius, Robert, Ph.D.  Washington University in St. Louis. 2009: 159 pages; 3386643.
138.
On the Usability of Continuous Time Bayesian Networks: Improving Scalability and Expressiveness
by Perreault, Logan Jared, Ph.D.  Montana State University. 2017: 250 pages; 10258540.
139.
High-throughput analysis and advanced search for visual-observed phenotypes
by Green, Jason M., Ph.D.  University of Missouri - Columbia. 2012: 195 pages; 3576097.
140.
Topics in statistical learning
by Hofling, Holger, Ph.D.  Stanford University. 2009: 132 pages; 3364502.
141.
Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
by Rudnick, Alexander James, Ph.D.  Indiana University. 2018: 167 pages; 13422906.
142.
Detection problems in watermarking, steganography, and camera identification
by Yu, Jun Eugene, Ph.D.  State University of New York at Binghamton. 2011: 113 pages; 3474057.
143.
144.
145.
Controlling and evaluating inpainting with attentional models
by Ardis, Paul A., Ph.D.  University of Rochester. 2009: 136 pages; 3395371.
146.
Dynamic release management: A market intensity approach
by Mancini, Angelo J., Ph.D.  The University of Chicago. 2015: 167 pages; 3725520.
147.
Orientation and Morphology Control of Block Copolymers Using External Fields
by Choo, Youngwoo, Ph.D.  Yale University. 2018: 128 pages; 13851852.
148.
Finite Time and Density Effects on Interacting Quantum Fields in Cosmological Spacetimes
by Parvizi, Mahmoud, Ph.D.  Vanderbilt University. 2019: 80 pages; 13811256.
149.
Stationary fields in object -oriented programs
by Unkel, Christopher, Ph.D.  Stanford University. 2009: 98 pages; 3395874.
150.
Models for understanding student thinking using data from complex computerized science tasks
by LaMar, Michelle Marie, Ph.D.  University of California, Berkeley. 2014: 93 pages; 3686374.
121 - 150 of 36507 displayed.
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