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1.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
2.
Regularization Based Multitask Learning With Applications in Computational Biology
by Widmer, Christian, Dr.Nat.  Technische Universitaet Berlin (Germany). 2015: 153 pages; 10695936.
3.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
4.
Advanced techniques for semantic concept detection in general videos
by Jiang, Wei, Ph.D.  Columbia University. 2010: 179 pages; 3420869.
5.
Trajectory Similarity Based Prediction for Remaining Useful Life Estimation
by Wang, Tianyi, Ph.D.  University of Cincinnati. 2010: 141 pages; 3432353.
6.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
7.
The Split Analysis for Multiple-Reader Multiple-Case Split-Plot Studies
by Hsieh, Jui-Ying, M.S.  The George Washington University. 2018: 57 pages; 10813369.
10.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
11.
Restaurants as Learning Organizations: A Multiple-site Case Study of U.S. Non-chain Restaurants
by Boccia, Mark, Ed.D.  The George Washington University. 2016: 309 pages; 10140349.
12.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
13.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
15.
Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning
by Christian, Matthew, M.S.  Tennessee State University. 2018: 56 pages; 10979821.
17.
A mixed methods study of secondary distance-learning students: Exploring learning styles
by Roberts, Jennifer M., Ed.D.  Walden University. 2009: 133 pages; 3355640.
18.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
19.
Use of double-loop learning to combat advanced persistent threat: Multiple case studies
by Lamb, Christopher J., Ph.D.  Capella University. 2013: 151 pages; 3607034.
20.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
21.
Machine Learning for the Automated Identification of Cyberbullying and Cyberharassment
by Ducharme, Daniel N., Ph.D.  University of Rhode Island. 2017: 145 pages; 10259474.
23.
Stopping data races using Redflag
by Duggal, Abhinav, M.S.  State University of New York at Stony Brook. 2010: 38 pages; 1477351.
24.
Technology Enhanced Learning for English Language Learners
by Stevens, Mark, Ph.D.  George Mason University. 2018: 269 pages; 10981068.
28.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
29.
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