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151.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
152.
Novel Function Approximation Techniques for Large-scale Reinforcement Learning
by Wu, Cheng, Ph.D.  Northeastern University. 2010: 130 pages; 3443846.
153.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
154.
Applications and extensions of pClust to big microbial proteomic data
by Lockwood, Svetlana, Ph.D.  Washington State University. 2016: 100 pages; 10139743.
155.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
156.
Integrating Heterogeneous Datasets for Functional Profiling of Transcription Factors and Their Target Genes
by Bible, Paul W., Ph.D.  University of Louisiana at Lafayette. 2013: 115 pages; 3589955.
157.
Generative Audio Systems: Musical Applications of Time-Varying Feedback Networks and Computational Aesthetics
by Surges, Gregory, Ph.D.  University of California, San Diego. 2015: 200 pages; 3741016.
158.
Improving the Forecast of Emerging Technologies Using Patent Analysis
by Clouse, Raja, D.Engr.  The George Washington University. 2019: 129 pages; 13422222.
160.
Social Cognitive Maps: A Relational Account of Person Representation and Memory
by Jolly, Eshin, Ph.D.  Dartmouth College. 2019: 228 pages; 27546519.
161.
The geography of global Internet hyperlink networks and cultural content analysis
by Chung, Chung Joo, Ph.D.  State University of New York at Buffalo. 2011: 92 pages; 3460741.
162.
Communication and estimation in noisy networks
by Vedantam, Satish, Ph.D.  University of Southern California. 2009: 168 pages; 3355383.
165.
Theory of Graph Traversal Edit Distance, Extensions, and Applications
by Ebrahimpour Boroojeny, Ali, M.S.  Colorado State University. 2019: 67 pages; 13812734.
166.
Dynamic routing with cross-layer adaptations for multi-hop wireless networks
by Pal, Amitangshu, Ph.D.  The University of North Carolina at Charlotte. 2013: 221 pages; 3608393.
167.
Spectrum Sharing in Large-Scale and Random Geometric Wireless Networks
by Cai, Ran, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 168 pages; 3691911.
168.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
169.
Understanding Social Movements through Simulations of Anger Contagion in Social Media
by Bacaksizlar, Nazmiye Gizem, Ph.D.  The University of North Carolina at Charlotte. 2019: 103 pages; 13805848.
170.
Realizing the potential of the network edge
by Rath, Ayaskant, Ph.D.  Polytechnic Institute of New York University. 2014: 102 pages; 3629121.
171.
Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques
by Foulds, James Richard, Ph.D.  University of California, Irvine. 2014: 287 pages; 3631094.
172.
Online Learning of the Spatial-Temporal Channel Variation in Underwater Acoustic Communication Networks
by Sun, Wensheng, Ph.D.  Michigan Technological University. 2019: 207 pages; 27668422.
173.
The hetnet awakens: understanding complex diseases through data integration and open science
by Himmelstein, Daniel S., Ph.D.  University of California, San Francisco. 2016: 120 pages; 10133408.
175.
Maximizing Influence of Simple and Complex Contagion on Real-World Networks
by Moores, Geoffrey, M.S.  University of Maryland, College Park. 2020: 109 pages; 27955400.
176.
Convolutional Neural Networks for EEG Signal Classification in Asynchronous Brain-Computer Interfaces
by Forney, Elliott M., Ph.D.  Colorado State University. 2019: 239 pages; 27544218.
177.
Phase Transitions on Static and Evolving Networks: Effects of Competition, Zealotry, and Growth
by Waagen, Alex, Ph.D.  University of California, Davis. 2014: 156 pages; 3685308.
178.
Social Network Analysis in an Extended Structural Equation Modeling Framework
by Liu, Haiyan, Ph.D.  University of Notre Dame. 2018: 168 pages; 13836262.
179.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
180.
Temporal and topological analysis of Open Source Software networks
by Van Antwerp, Matthew, Ph.D.  University of Notre Dame. 2013: 166 pages; 3733803.
151 - 180 of 28704 displayed.
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