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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.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
4.
Speech Synthesis Using Unsupervised Learning
by Datta, Aditi, M.S.  California State University, Long Beach. 2017: 215 pages; 10639160.
5.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
6.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
7.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
8.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
9.
An Approach to the Solution of Inverse Problem Using Unsupervised Machine Learning
by Dixit, Surabhi, M.S.  California State University, Long Beach. 2018: 64 pages; 10752219.
10.
A comparison of unsupervised learning techniques for detection of medical abuse in automobile claims
by Yang, Li, M.S.  California State University, Long Beach. 2012: 35 pages; 1521650.
11.
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.
14.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
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Bias in Novel Category Learning
by Martin, Sean, Ph.D.  New York University. 2015: 203 pages; 3740789.
17.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
18.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
19.
Deep Learning Methods for Medical Image Computing
by Liao, Haofu, Ph.D.  University of Rochester. 2019: 237 pages; 27737049.
20.
Semi-supervised learning for connectionist networks
by Robare, Rebecca J., Ph.D.  City University of New York. 2010: 117 pages; 3426834.
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Scalable learning of actions from unlabeled videos
by O'Hara, Stephen, Ph.D.  Colorado State University. 2013: 127 pages; 3565542.
23.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
24.
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
by Huang, Furong, Ph.D.  University of California, Irvine. 2016: 261 pages; 10125323.
25.
Scalable Unsupervised Dense Objects Discovery, Detection, Tracking and Reconstruction
by Ma, Lu, Ph.D.  University of Colorado at Boulder. 2016: 160 pages; 10151087.
26.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
28.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
29.
Understanding activity from trajectory patterns
by Morris, Brendan Tran, Ph.D.  University of California, San Diego. 2010: 146 pages; 3398750.
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