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1.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
2.
Method for simulating creativity to generate sound collages from documents on the web
by Merz, Evan X., D.M.A.  University of California, Santa Cruz. 2013: 90 pages; 3609658.
3.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
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New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
7.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
9.
Ant colony inspired models for trust-based recommendations
by Alathel, Deema, Ph.D.  The George Washington University. 2015: 193 pages; 3686815.
10.
Behaviometrics for multiple residents in a smart environment
by Crandall, Aaron S., Ph.D.  Washington State University. 2011: 271 pages; 3460369.
11.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
12.
Cooperative particle swarm optimization for combinatorial problems
by Lapizco-Encinas, Grecia C., Ph.D.  University of Maryland, College Park. 2009: 152 pages; 3391379.
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The CIA to 1950
by Gleason, Hillary, Ph.D.  State University of New York at Binghamton. 2010: 256 pages; 3434597.
16.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
17.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
18.
Safety Engineering of Computational Cognitive Architectures within Safety-Critical Systems
by Dreany, Harry Hayes, Ph.D.  The George Washington University. 2018: 204 pages; 10688677.
19.
Secure framework for implementing distributed networked control systems with mobile observers using heterogeneous controllers
by Padilla-Franco, Javitt Higmar Nahitt, Ph.D.  New Mexico State University. 2017: 194 pages; 10759028.
20.
Multi-Resolution Superpixels for Visual Saliency Detection in a Large Image Collection
by Singh, Anurag, Ph.D.  University of Louisiana at Lafayette. 2015: 128 pages; 3718565.
23.
Real-Time Individual Thermal Preferences Prediction Using Visual Sensors
by Cosma, Andrei Claudiu, Ph.D.  The George Washington University. 2019: 147 pages; 13422566.
24.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
25.
Social network analysis: Determining betweenness centrality of a network using Ant Colony Optimization
by Rubano, Vincent, M.S.  Southern Connecticut State University. 2016: 117 pages; 10108549.
26.
Learning-Assisted Market-Based Optimization for Truck Task Scheduling
by Danna, Russell J., M.S.  University of Louisiana at Lafayette. 2014: 56 pages; 1557547.
27.
Learning functions on unknown manifolds
by Zhou, Xueyuan, Ph.D.  The University of Chicago. 2011: 126 pages; 3487652.
28.
Low-Altitude Operation of Unmanned Rotorcraft
by Scherer, Sebastian, Ph.D.  Carnegie Mellon University. 2011: 123 pages; 3468040.
29.
Automatic Conversation Review for Intelligent Virtual Assistants
by Beaver, Ian, Ph.D.  The University of New Mexico. 2018: 278 pages; 10816823.
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