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1.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
2.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
3.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
4.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
5.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
6.
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.
7.
Optimizing Machine Translation by Learning to Search
by Galron, Daniel, Ph.D.  New York University. 2012: 218 pages; 3546405.
8.
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
by Halpern, Yonatan, Ph.D.  New York University. 2016: 353 pages; 10192124.
9.
Adding Semantics to Unstructured and Semi-structured Data on the Web
by Bhagavatula, Chandra Sekhar, Ph.D.  Northwestern University. 2016: 88 pages; 10117145.
10.
Accurate prediction of protein function using GOstruct
by Sokolov, Artem, Ph.D.  Colorado State University. 2011: 90 pages; 3489918.
11.
Task Relationship Modeling in Lifelong Multitask Learning
by Mishra, Meenakshi, Ph.D.  University of Kansas. 2015: 165 pages; 3721005.
15.
Representation Learning on Sequential Medical Data
by Hyland, Stephanie L., Ph.D.  Weill Medical College of Cornell University. 2019: 245 pages; 13805668.
17.
Multiplayer Educational Role Playing Games (MPERPGs) and the Application of Leadership
by Clayton, Andrew Stafford, Ed.D.  Grand Canyon University. 2017: 348 pages; 10257450.
18.
Learning Ambidexterity in Organization
by Zabiegalski, Eric, Ed.D.  The George Washington University. 2015: 177 pages; 3715905.
19.
Deep Learning for Information Extraction
by Nguyen, Thien Huu, Ph.D.  New York University. 2018: 246 pages; 10260911.
20.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
21.
Statistical Relational Learning through Structural Analogy and Probabilistic Generalization
by Halstead, Daniel T., Ph.D.  Northwestern University. 2011: 159 pages; 3488474.
22.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
23.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
24.
High-performance knowledge-based entity extraction
by Middleton, Anthony M., Ph.D.  Nova Southeastern University. 2009: 317 pages; 3352341.
26.
The Impact of Writing Prompts on Learning During Ill-Structured Problem Solving
by DiFrancesca, Daniell, Ph.D.  North Carolina State University. 2015: 153 pages; 10110537.
27.
Near-optimality and robustness of greedy algorithms for Bayesian pool-based active learning
by Cuong, Nguyen Viet, Ph.D.  National University of Singapore (Singapore). 2015: 124 pages; 10006066.
28.
Learning to Play Cooperative Games via Reinforcement Learning
by Wei, Ermo, Ph.D.  George Mason University. 2018: 162 pages; 13420351.
29.
International policy experience: Short term international travel courses in structure degree programs
by Clayton, Kirk Marshall, Ed.D.  Pepperdine University. 2016: 177 pages; 10141729.
30.
Learning to Manipulate Novel Objects for Assistive Robots
by Sung, Jaeyong, Ph.D.  Cornell University. 2017: 190 pages; 10258261.
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