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1.
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.
2.
Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests
by Jaiantilal, Abhishek, Ph.D.  University of Colorado at Boulder. 2013: 164 pages; 3592307.
3.
Robust and efficient feature selection for high-dimensional datasets
by Mo, Dengyao, Ph.D.  University of Cincinnati. 2011: 131 pages; 3458192.
4.
Stability analysis of feature selection approaches with low quality data
by Altidor, Wilker, Ph.D.  Florida Atlantic University. 2011: 256 pages; 3480605.
5.
Feature selection techniques and applications in bioinformatics
by Dittman, David, M.S.  Florida Atlantic University. 2011: 147 pages; 1504155.
6.
Feature Selection for Diffusion Methods Within a Supervised Context
by Le, Minh-Tam, Ph.D.  Yale University. 2014: 135 pages; 3582256.
7.
The Impact of Cost on Feature Selection for Classifiers
by McCrae, Richard, Ph.D.  Nova Southeastern University. 2018: 181 pages; 13423087.
8.
Feature Selection through Visualisation for the Classification of Online Reviews
by Koka, Keerthika, M.S.  Purdue University. 2017: 66 pages; 10278441.
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System for Identifying Plankton from the SIPPER Instrument Platform
by Kramer, Kurt A., Ph.D.  University of South Florida. 2010: 134 pages; 3432570.
14.
Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization
by Uddin, Muhammad Fahim, Ph.D.  University of Bridgeport. 2018: 192 pages; 13427950.
16.
Understanding objects in the visual world
by Ahmed, Ejaz, Ph.D.  University of Maryland, College Park. 2015: 153 pages; 3712010.
17.
The Effects of Reward on Attentional Selection
by Lee, Jeongmi, Ph.D.  The George Washington University. 2013: 120 pages; 3565173.
18.
Fusion of Evolution Constructed Features for Computer Vision
by Price, Stanton Robert, Ph.D.  Mississippi State University. 2018: 157 pages; 10746451.
19.
Motion segmentation for feature association
by Pace, Weston, M.S.  Colorado State University. 2010: 59 pages; 1483943.
21.
Feature-based Attentional Gain is Flexibly Deployed in Visual Cortex
by Scolari, Miranda Rose, Ph.D.  University of California, San Diego. 2012: 167 pages; 3505008.
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Assessment of Endotracheal Intubation Proficiency Using a Hand Motion-based Sensor Fusion System
by Lim, Chiho, M.S.  Southern Illinois University at Edwardsville. 2019: 42 pages; 22592039.
24.
Statistical Methods for High Dimensional Variable Selection
by Li, Kaiqiao, Ph.D.  State University of New York at Stony Brook. 2019: 114 pages; 13427291.
25.
The Role of Contextual Associations in the Selection of Objects
by Sulman, Noah, Ph.D.  University of South Florida. 2011: 190 pages; 3450431.
27.
Inflectional morphology in optimality theory
by Xu, Zheng, Ph.D.  State University of New York at Stony Brook. 2007: 135 pages; 3328052.
28.
Neuroevolution Based Inverse Reinforcement Learning
by Budhraja, Karan Kumar, M.S.  University of Maryland, Baltimore County. 2016: 85 pages; 10140581.
29.
Task Relationship Modeling in Lifelong Multitask Learning
by Mishra, Meenakshi, Ph.D.  University of Kansas. 2015: 165 pages; 3721005.
30.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
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