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181.
Creative decision within a group through a systems-based process
by Afolabi, Mark Olufemi, Ph.D.  State University of New York at Binghamton. 2010: 222 pages; 3398244.
182.
Testing Software Development Project Productivity Model
by Lipkin, Ilya, Ph.D.  The University of Toledo. 2011: 217 pages; 10631147.
183.
Reinforcement Learning in Structured and Partially Observable Environments
by Azizzadenesheli, Kamyar, Ph.D.  University of California, Irvine. 2019: 170 pages; 13896671.
184.
Communicating Plans in Ad Hoc Multiagent Teams
by Santarra, Trevor, Ph.D.  University of California, Santa Cruz. 2019: 190 pages; 13809871.
186.
187.
Computational inference of genetic regulatory networks in human cancer cells
by Margolin, Adam Arne, Ph.D.  Columbia University. 2008: 282 pages; 3299359.
188.
PR-OWL Decision: A Framework for Decision Making with Probabilistic Ontologies
by Matsumoto, Shou, Ph.D.  George Mason University. 2019: 198 pages; 13864553.
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191.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
192.
Effects of perception range on mobile robot path efficiency
by Roman, Matthew J., Ph.D.  The University of Oklahoma. 2011: 133 pages; 3482361.
193.
Predicting “Essential” Genes in Microbial Genomes: A Machine Learning Approach to Knowledge Discovery in Microbial Genomic Data
by Palaniappan, Krishnaveni, Ph.D.  Nova Southeastern University. 2010: 252 pages; 3428281.
194.
Using analogy to model spatial language use and multimodal knowledge capture
by Lockwood, Kate, Ph.D.  Northwestern University. 2009: 189 pages; 3386521.
195.
Cooperative particle swarm optimization for combinatorial problems
by Lapizco-Encinas, Grecia C., Ph.D.  University of Maryland, College Park. 2009: 152 pages; 3391379.
198.
WPCA: The Wreath Product Cognitive Architecture
by Joshi, Anshul, Ph.D.  The University of Utah. 2016: 137 pages; 10242991.
199.
Supportive Behaviors for Human-Robot Teaming
by Hayes, Bradley, Ph.D.  Yale University. 2016: 178 pages; 10160856.
201.
Nonlinear epilepsy forewarning by support vector machines
by Ashbee, William S., M.S.  University of South Alabama. 2013: 51 pages; 1604736.
202.
Robust Model Estimation Methods For Information Retrieval
by Collins-Thompson, Kevyn, Ph.D.  Carnegie Mellon University. 2008: 220 pages; 3528730.
203.
Machine Learning Methods for 3D Object Classification and Segmentation
by Le, Truc Duc, Ph.D.  University of Missouri - Columbia. 2018: 158 pages; 13877153.
204.
Adaptive estimation techniques for resident space object characterization
by LaPointe, Jamie, M.S.  The University of Arizona. 2016: 136 pages; 10250698.
205.
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.
206.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
207.
208.
Directing Virtual Humans Using Play-Scripts and Spatio-Temporal Reasoning
by Talbot, Christine, Ph.D.  The University of North Carolina at Charlotte. 2018: 260 pages; 10791242.
209.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
210.
AIMOS: Automated Inferential Multi-Objective Optimization System
by Praharaj, Blake, M.S.  Southern Connecticut State University. 2017: 83 pages; 10249184.
181 - 210 of 10094 displayed.
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