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93.
Multi-tier Internet service management: Statistical learning approaches
by Muppala, Sireesha, Ph.D.  University of Colorado at Colorado Springs. 2013: 167 pages; 3560749.
95.
Optimizing Machine Translation by Learning to Search
by Galron, Daniel, Ph.D.  New York University. 2012: 218 pages; 3546405.
96.
Machine learning challenges for automated prompting in smart homes
by Das, Barnan, Ph.D.  Washington State University. 2014: 236 pages; 3640007.
97.
Advanced natural language processing and temporal mining for clinical discovery
by Mehrabi, Saeed, Ph.D.  Indiana University - Purdue University Indianapolis. 2016: 109 pages; 10032405.
98.
Design Automation for Carbon Nanotube Circuits Considering Performance and Security Optimization
by Liu, Lin, Ph.D.  Michigan Technological University. 2017: 169 pages; 10267186.
99.
Driver drowsiness detection using ECG integrated with machine learning
by Solanki, Khantil N., M.S.  California State University, Long Beach. 2017: 84 pages; 10263492.
100.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
101.
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.
102.
Combining the normal hedge algorithm with weighted trees for predicting binary sequences
by Biaggi, Andrea, M.S.  University of California, San Diego. 2010: 41 pages; 1474775.
104.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
105.
Goal-Based Agent Design: Decision Making in General Game Playing
by Sheng, Xinxin, Ph.D.  North Carolina State University. 2011: 180 pages; 3497189.
107.
Statistical methods for high-dimensional data analysis
by Gupta, Abhishek, Ph.D.  University of Pennsylvania. 2008: 96 pages; 3346226.
108.
Clustering and entity resolution for semi-structured data
by Zhao, Chuan, Ph.D.  Washington State University. 2011: 208 pages; 3495962.
109.
Building and Evaluating a Learning Environment for Algorithm and Data Structures Courses
by Mbindi, Eric Noel Fouh, Ph.D.  Virginia Polytechnic Institute and State University. 2015: 151 pages; 10595292.
112.
Kulitta: A Framework for Automated Music Composition
by Quick, Donya, Ph.D.  Yale University. 2014: 247 pages; 3582255.
113.
Learning-Assisted Market-Based Optimization for Truck Task Scheduling
by Danna, Russell J., M.S.  University of Louisiana at Lafayette. 2014: 56 pages; 1557547.
114.
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.
115.
Solution of Constrained Clustering Problems Through Homotopy Tracking
by Easterling, David R., Ph.D.  Virginia Polytechnic Institute and State University. 2014: 101 pages; 10595248.
116.
Localized Learning of Downscaled Soil Moisture
by Lewis, Michael G., Ph.D.  George Mason University. 2018: 188 pages; 10809236.
117.
A reference-set approach to information extraction from unstructured, ungrammatical data sources
by Michelson, Matthew, Ph.D.  University of Southern California. 2009: 160 pages; 3355406.
118.
Link Discovery through Iterative Link Classification: Towards a Real-Time Analysis of Graph Evolution
by Pusala, Murali Krishna, Ph.D.  University of Louisiana at Lafayette. 2018: 116 pages; 10846556.
119.
Long-Term Tracking by Decision Making
by Supancic, James, III, Ph.D.  University of California, Irvine. 2017: 193 pages; 10286470.
120.
Conquering image imperfectness by priors with applications to image recovery
by Dai, Shengyang, Ph.D.  Northwestern University. 2009: 142 pages; 3386960.
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