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241.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
242.
Applying Random Forest to Mitigate Cybersecurity Data Breaches in Small Businesses
by Liguori, Patricia Ann, D.Engr.  The George Washington University. 2018: 177 pages; 10928320.
243.
The Localization of Free-Form Surfaces by the Maximization of the Shared Extent
by Geisler, Jeannette, M.S.  University of Cincinnati. 2014: 99 pages; 1585293.
245.
The importance of not being mean: DFM—a norm-referenced data model for face pattern recognition
by Kite, Lawrence Marc, Ph.D.  University of Southern California. 2009: 143 pages; 3355391.
246.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
247.
Real-World Robotic Perception and Control Using Synthetic Data
by Tobin, Joshua P., Ph.D.  University of California, Berkeley. 2019: 79 pages; 13886306.
248.
The Status of AI in Music: A Study of the Musical Metacreation Conferences, 2012-2018
by York, Bruce, M.M.  Western Illinois University. 2019: 138 pages; 13901476.
249.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
250.
Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization
by Uddin, Muhammad Fahim, Ph.D.  University of Bridgeport. 2018: 192 pages; 13427950.
251.
Machine Learning and Network-Based Systems Toxicology Modeling of Chemotherapy-Induced Peripheral Neuropathy
by Bloomingdale, Peter, Ph.D.  State University of New York at Buffalo. 2018: 353 pages; 13427432.
252.
253.
254.
An N-gram enhanced learning classifier for Chinese character recognition
by Ayer, Eliot William, M.S.  California State University, Long Beach. 2013: 53 pages; 1524176.
257.
Language Learning Through Comparison
by Babarsad, Omid Bakhshandeh, Ph.D.  University of Rochester. 2017: 116 pages; 10618060.
258.
Bayesian Networks with an application to credit risk
by Kent, Geoffrey, M.S.  California State University, Long Beach. 2014: 173 pages; 1526920.
259.
Search-based optimization for compiler machine-code generation
by Clauson, Aran, Ph.D.  University of Oregon. 2013: 121 pages; 3600071.
260.
Knowledge representation, communication, and update in probability-based multiagent systems
by Langevin, Scott, Ph.D.  University of South Carolina. 2011: 138 pages; 3454755.
261.
First order decision diagrams for decision theoretic planning
by Joshi, Saket, Ph.D.  Tufts University. 2010: 190 pages; 3427479.
262.
263.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
264.
Adaptive estimation techniques for resident space object characterization
by LaPointe, Jamie, M.S.  The University of Arizona. 2016: 136 pages; 10250698.
265.
Using the singularity frequencies of guidedwaves to obtain a pipe's properties and detect and size notches
by Stoyko, Darryl Keith, Ph.D.  University of Manitoba (Canada). 2013: 468 pages; 3582897.
266.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
267.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
268.
Planning in incomplete domains
by Robertson, Jared, M.S.  Utah State University. 2012: 71 pages; 1532849.
269.
Any-angle path planning
by Nash, Alex, Ph.D.  University of Southern California. 2012: 433 pages; 3542296.
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