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181.
Model Based Clustering Algorithms with Applications
by Wei, Wutao, Ph.D.  Purdue University. 2018: 124 pages; 10830711.
182.
Evaluating the Implementation Process of a New Math Program: Math in Focus
by Pfanstiel, Suzette, Ed.D.  Lindenwood University. 2016: 209 pages; 10128160.
183.
Modification of an asynchronous dexterous hand movement decoder for hardware implementation
by Bosen, Adam Kevin, M.S.  Rochester Institute of Technology. 2010: 72 pages; 1480273.
184.
Computational methods for support vector machine classification and large-scale Kalman filtering
by Howard, Marylesa Marie, Ph.D.  University of Montana. 2013: 124 pages; 3568109.
186.
Linking neural activity with perceptual decision making via sparse decoding
by Shi, Jianing, Ph.D.  Columbia University. 2010: 211 pages; 3428702.
187.
An Evolutionary Model-Free Controller and its Application to the Swing-Up of a Double Inverted Pendulum
by Pamulaparthy, Venkata Dhruva, M.S.  California State University, Long Beach. 2017: 73 pages; 10690950.
188.
Principal Network Analysis
by Mei, Jonathan B., Ph.D.  Carnegie Mellon University. 2018: 154 pages; 10822110.
189.
Strategic targeting of outliers for expert review
by Rebbapragada, Umaa Devi, Ph.D.  Tufts University. 2010: 176 pages; 3422362.
190.
Multimodal Deep Learning to Enhance the Practice of Radiology
by Badgeley, Marcus Alexander, Ph.D.  Icahn School of Medicine at Mount Sinai. 2019: 236 pages; 10974774.
191.
Learning paraphrases from text
by Bhagat, Rahul, Ph.D.  University of Southern California. 2009: 270 pages; 3368694.
192.
Specification of sex-specific molecular biomarkers
by Lopez, Karen L., M.S.  California State University, Long Beach. 2012: 93 pages; 1517720.
193.
Grammatical formalisms for RNA structure analysis
by Al Seesi, Sahar, Ph.D.  University of Connecticut. 2010: 121 pages; 3420201.
194.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
195.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
196.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
197.
First order decision diagrams for decision theoretic planning
by Joshi, Saket, Ph.D.  Tufts University. 2010: 190 pages; 3427479.
198.
Grammatical methods in computer vision
by Purdy, Eric, Ph.D.  The University of Chicago. 2013: 212 pages; 3557428.
199.
Fusion for Object Detection
by Wei, Pan, Ph.D.  Mississippi State University. 2018: 169 pages; 10826517.
200.
High Frequency GaN Power Converters Digital Twin
by Biglarbegian, Mehrdad, Ph.D.  The University of North Carolina at Charlotte. 2018: 153 pages; 10979304.
201.
An iterative feature perturbation method for gene selection from microarray data
by Reich, Juana Canul, Ph.D.  University of South Florida. 2010: 153 pages; 3425694.
202.
Spacecraft Formation Control: Adaptive PID-Extended Memory Recurrent Neural Network Controller
by Gonzalez, Juan, M.S.  California State University, Long Beach. 2018: 76 pages; 10978237.
203.
Statistical models and optimization algorithms for high-dimensional computer vision problems
by Mitra, Kaushik, Ph.D.  University of Maryland, College Park. 2011: 155 pages; 3478970.
204.
Structural induction: Towards automatic ontology elicitation
by Silvescu, Adrian, Ph.D.  Iowa State University. 2008: 187 pages; 3307040.
205.
Neural mechanisms of perceptual learning
by Rokem, Ariel Shalom, Ph.D.  University of California, Berkeley. 2010: 82 pages; 3413552.
206.
Benchmarks for Evaluating Anomaly-Based Intrusion Detection Solutions
by Miller, Nicholas J., M.S.  California State University, Long Beach. 2018: 30 pages; 10752128.
207.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
208.
On mutation and crossover in the theory of evolutionary algorithms
by Richter, James Neal, Ph.D.  Montana State University. 2010: 300 pages; 3403059.
209.
Variations of the FEAST eigenvalue algorithm
by Kajpust, Stephanie, M.S.  Michigan Technological University. 2014: 130 pages; 1557412.
210.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
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