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61.
Using Social Dynamics to Make Individual Predictions: Variational Inference with Stochastic Kinetic Model
by Xu, Zhen, Ph.D.  State University of New York at Buffalo. 2016: 118 pages; 10253123.
62.
Towards Modeling Collaborative Task Oriented Multimodal Human-human Dialogues
by Chen, Lin, Ph.D.  University of Illinois at Chicago. 2014: 134 pages; 3668932.
63.
Pediatric heart sound segmentation
by Sedighian, Pouye, M.S.  California State University, Long Beach. 2014: 54 pages; 1526952.
64.
An evaluation framework for adaptive user interfaces
by Noriega Atala, Enrique, M.S.  The University of Arizona. 2014: 46 pages; 1559719.
65.
Mechanizing exploratory game design
by Smith, Adam Marshall, Ph.D.  University of California, Santa Cruz. 2012: 403 pages; 3551216.
66.
Real-Time Road Traffic Events Detection and Geo-Parsing
by Kumar, Saurabh, M.S.E.C.E.  Purdue University. 2018: 70 pages; 10842958.
68.
Unsupervised Learning under Uncertainty
by Mathieu, MichaĆ«l, Ph.D.  New York University. 2017: 159 pages; 10261120.
69.
From Event to Story Understanding
by Mostafazadeh, Nasrin, Ph.D.  University of Rochester. 2017: 149 pages; 10618085.
70.
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
by Halpern, Yonatan, Ph.D.  New York University. 2016: 353 pages; 10192124.
71.
Analytical techniques for the improvement of mass spectrometry protein profiling
by Pelikan, Richard Craig, Ph.D.  University of Pittsburgh. 2011: 251 pages; 3472018.
72.
73.
Chunk alignment for Corpus-Based Machine Translation
by Kim, Jae Dong, Ph.D.  Carnegie Mellon University. 2011: 143 pages; 3528565.
74.
Probabilistic learning for analysis of sensor-based human activity data
by Hutchins, Jonathan, Ph.D.  University of California, Irvine. 2010: 245 pages; 3432162.
75.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
76.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
77.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
78.
Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
79.
The Impact of Cost on Feature Selection for Classifiers
by McCrae, Richard, Ph.D.  Nova Southeastern University. 2018: 181 pages; 13423087.
80.
AIRtouch: An Intelligent Virtual Keyboard
by Luvani, Kuldeep D., M.S.  California State University, Long Beach. 2017: 63 pages; 10639252.
81.
Discovering credible events in near real time from social media streams
by Buntain, Cody, Ph.D.  University of Maryland, College Park. 2016: 167 pages; 10193286.
83.
Mind as Theory Engine: Causation, Explanation and Time
by Pacer, Michael D., Ph.D.  University of California, Berkeley. 2016: 380 pages; 10194103.
85.
Building Safety Maps using Vision for Safe Local Mobile Robot Navigation
by Murarka, Aniket, Ph.D.  The University of Texas at Austin. 2009: 189 pages; 3438825.
86.
Using a model of human cognition of causality to orient arcs in structural learning
by Vang, Jee, Ph.D.  George Mason University. 2008: 267 pages; 3343811.
87.
Automated Detection of Semagram-Laden Images
by Cerkez, Paul S., Ph.D.  Nova Southeastern University. 2012: 238 pages; 3505651.
88.
A game -theoretic model of grounding for referential communication tasks
by Thompson, William, Ph.D.  Northwestern University. 2009: 174 pages; 3386515.
89.
Cross-Lingual Transfer of Semantics in Low-Resource Settings
by Aminian, Maryam, Ph.D.  The George Washington University. 2019: 142 pages; 27664551.
90.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
61 - 90 of 19013 displayed.
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