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4.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
5.
An Evolutionary Model-Free Controller and its Application to the Swing-Up of a Double Inverted Pendulum
by Pamulaparthy, Venkata Dhruva, M.S.  California State University, Long Beach. 2017: 73 pages; 10690950.
8.
Conceptual knowledge of evolution and natural selection: How culture affects knowledge acquisition
by Gutierrez, Maria del Refugio, Ph.D.  Texas A&M University. 2009: 234 pages; 3400818.
9.
Morphogenetic computing and reinforcement learning for multi-agent systems
by Guo, Hongliang, Ph.D.  Stevens Institute of Technology. 2011: 161 pages; 3557278.
10.
Learning Ambidexterity in Organization
by Zabiegalski, Eric, Ed.D.  The George Washington University. 2015: 177 pages; 3715905.
11.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
13.
Conceptions of evolution among urban middle school students in Los Angeles
by Diaz, Michael A., M.S.  California State University, Long Beach. 2012: 97 pages; 1522216.
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Faster Evolutionary Multi-Objective Optimization via GALE, the Geometric Active Learner
by Krall, Joseph, Ph.D.  West Virginia University. 2014: 189 pages; 3637611.
17.
Mapping biological ideas: Concept maps as knowledge integration tools for evolution education
by Schwendimann, Beat Adrian, Ph.D.  University of California, Berkeley. 2011: 381 pages; 3499067.
19.
The role of perspective and encoding specific cueing in survival processing
by Kyle, Hilary K., M.A.  California State University, Long Beach. 2014: 75 pages; 1526921.
21.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
22.
Impacts and Implications of Polytypism on the Evolution of Aposematic Coloration
by Lawrence, Justin Philip, Ph.D.  The University of Mississippi. 2018: 116 pages; 10812811.
23.
An evolutionary approach to intuitionism and moral realism
by Basik, Nathan, Ph.D.  Indiana University. 2008: 333 pages; 3344560.
24.
Applying Evolutionary Computation and Ensemble Approaches to Protein Contact Map and Protein Function Determination
by Chapman, Samuel D., Ph.D.  North Carolina Agricultural and Technical State University. 2016: 153 pages; 10191042.
25.
Novel cognitive impairments identified in a Drosophila model of Neurofibromatosis Type 1
by Vose, Linnea Raeanne, Ph.D.  New York Medical College. 2012: 135 pages; 3558249.
26.
Autonomic Performance Optimization with Application to Self-Architecting Software Systems
by Ewing, John M., Ph.D.  George Mason University. 2015: 207 pages; 3706982.
27.
Intelligent horses: A cybersemiotic perspective
by Garcia, Dulce M., Ph.D.  California Institute of Integral Studies. 2013: 240 pages; 3606925.
28.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
29.
The semantics of success: Cultural evolution and science citation
by Blatt, Eli M., Ph.D.  Stanford University. 2008: 117 pages; 3313807.
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