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31.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
32.
Probabilistic learning for analysis of sensor-based human activity data
by Hutchins, Jonathan, Ph.D.  University of California, Irvine. 2010: 245 pages; 3432162.
35.
Vehicle classification using machine learning algorithm
by Patel, Darshan D., M.S.  California State University, Long Beach. 2015: 37 pages; 1604876.
38.
New Deep Learning Based Approaches for Biomedical Image Segmentation and Related Problems
by Yang, Lin, Ph.D.  University of Notre Dame. 2018: 129 pages; 13836469.
40.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
41.
Novel Function Approximation Techniques for Large-scale Reinforcement Learning
by Wu, Cheng, Ph.D.  Northeastern University. 2010: 130 pages; 3443846.
42.
Data Synthesis for Object Recognition
by Zhang, Xi, Ph.D.  Illinois Institute of Technology. 2017: 140 pages; 10642437.
43.
Application of temporal difference learning to the game of Snake
by Lockhart, Christopher, M.Eng.  University of Louisville. 2010: 96 pages; 1485160.
44.
Sparse dictionary learning and domain adaptation for face and action recognition
by Qiu, Qiang, Ph.D.  University of Maryland, College Park. 2013: 150 pages; 3587452.
45.
Morphogenetic computing and reinforcement learning for multi-agent systems
by Guo, Hongliang, Ph.D.  Stevens Institute of Technology. 2011: 161 pages; 3557278.
46.
Rapid Learning with Stochastic Focus of Attention
by Pelossof, Raphael A., Ph.D.  Columbia University. 2011: 85 pages; 3451712.
47.
Authority Flow-based Ranking in Heterogeneous Networks: Prediction, Personalization, and Learning to Rank
by Sayyadi-Harikandehei, Hassan, Ph.D.  University of Maryland, College Park. 2014: 107 pages; 3628017.
48.
Decision tree-based machine learning algorithm for in-node vehicle classification
by Trivedi, Ankit P., M.S.  California State University, Long Beach. 2016: 66 pages; 10196455.
49.
50.
Analysis and Design of Proportionate-Type Normalized Least Mean Square Algorithms
by Wagner, Kevin, D.Sc.  The George Washington University. 2012: 223 pages; 3503010.
51.
Facilitating the integration and impact measurement of technologies and media that augment learning environments
by Knight, Allan Harvey, Ph.D.  University of California, Santa Barbara. 2009: 286 pages; 3390788.
52.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
53.
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.
54.
Detecting and characterizing malicious websites
by Xu, Li, Ph.D.  The University of Texas at San Antonio. 2014: 93 pages; 3637094.
55.
Belief based reinforcement learning for data fusion
by Lollett, Carlos, Ph.D.  State University of New York at Buffalo. 2009: 184 pages; 3342148.
56.
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.
57.
Scaling activity discovery and recognition to large, complex datasets
by Rashidi, Parisa, Ph.D.  Washington State University. 2011: 275 pages; 3460419.
58.
Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by Bahremand, Saeid, M.S.  Southern Illinois University at Edwardsville. 2016: 92 pages; 10249804.
59.
Wearable human activity recognition systems
by Ameri-Daragheh, Alireza, M.S.  California State University, Long Beach. 2015: 104 pages; 1595755.
60.
Smart Robotics Prosthesis Using Deep Learning and Musculoskeletal Modeling
by Chaudhari, Dipti K., M.S.  California State University, Long Beach. 2017: 56 pages; 10690581.
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