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1.
Towards a Deeper Understanding of Semi-Supervised Learning
by Patterson, John D., Ph.D.  State University of New York at Binghamton. 2019: 165 pages; 27667673.
2.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
3.
Weakly Supervised Visual Understanding
by Zou, Yang, Ph.D.  Carnegie Mellon University. 2020: 170 pages; 28095257.
4.
Semi-supervised learning for connectionist networks
by Robare, Rebecca J., Ph.D.  City University of New York. 2010: 117 pages; 3426834.
5.
Using Supervised Machine Learning for Early Lung Cancer Detection
by Vo, Jessica, M.S.  California State University, Long Beach. 2020: 76 pages; 27736286.
6.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
7.
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
by Halpern, Yonatan, Ph.D.  New York University. 2016: 353 pages; 10192124.
9.
Learning from time series in the presence of noise: Unsupervised and semi-supervised approaches
by Yankov, Dragomir Dimitrov, Ph.D.  University of California, Riverside. 2008: 165 pages; 3305676.
10.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
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Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
14.
Acquiring Information from Wider Scope to Improve Event Extraction
by Liao, Shasha, Ph.D.  New York University. 2012: 103 pages; 3524290.
15.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
16.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
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Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
19.
Multi-tier Internet service management: Statistical learning approaches
by Muppala, Sireesha, Ph.D.  University of Colorado at Colorado Springs. 2013: 167 pages; 3560749.
21.
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.
22.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
23.
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.
25.
Task Relationship Modeling in Lifelong Multitask Learning
by Mishra, Meenakshi, Ph.D.  University of Kansas. 2015: 165 pages; 3721005.
26.
The Experiences of Peer Support Specialists Supervised by Non-Peer Supervisors
by Forbes, Joanne L., Ph.D.  Rutgers The State University of New Jersey, Rutgers School of Health Professions. 2020: 149 pages; 27964985.
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Leveraging Structure for Learning Robot Control and Reactive Planning
by Sutanto, Giovanni, Ph.D.  University of Southern California. 2020: 151 pages; 28086666.
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