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1.
The Impact of Cost on Feature Selection for Classifiers
by McCrae, Richard, Ph.D.  Nova Southeastern University. 2018: 181 pages; 13423087.
2.
Numeral classifiers and the structure of DP
by Gebhardt, Lewis, Ph.D.  Northwestern University. 2009: 437 pages; 3355664.
3.
Accessing the semantics of Japanese numeral classifiers
by Ngo, Nancy T., M.A.  California State University, Long Beach. 2015: 78 pages; 1586876.
4.
RNA-protein structure classifiers incorporated into second-generation statistical potentials
by Kimura, Takayuki, M.S.  San Jose State University. 2016: 145 pages; 10241445.
5.
American Sign Language and age of acquisition: Classifiers and role shifting in a retelling of a story
by Sakata, Diana Megumi, M.A.  California State University, Long Beach. 2013: 84 pages; 1527582.
8.
Weighted voting ensembles for high dimensional data
by Hordoan, Liliana A., M.S.  California State University, Long Beach. 2015: 67 pages; 1584935.
9.
Three-dimensional hand gesture recognition using a ZCam and an SVM-SMO classifier
by Bonansea, Lucas, M.S.  Iowa State University. 2009: 63 pages; 1468148.
10.
Real-Time Individual Thermal Preferences Prediction Using Visual Sensors
by Cosma, Andrei Claudiu, Ph.D.  The George Washington University. 2019: 147 pages; 13422566.
11.
A comparison of parametric and non-parametric methods for detecting fraudulent automobile insurance claims
by Ceglia, Cesarina, M.S.  California State University, Long Beach. 2016: 69 pages; 10147317.
12.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
13.
Multi-Class Computational Evolution: Development, Benchmark Comparison, and Application to RNA-Seq Biomarker Discovery
by Crabtree, Nathaniel Mark, Ph.D.  University of Arkansas at Little Rock. 2017: 106 pages; 10620232.
14.
Optimized Veterinary Thermographic Image Classification using Support Vector Machines and Noise Mitigation
by Lama, Norsang, M.S.  Southern Illinois University at Edwardsville. 2017: 56 pages; 10616467.
15.
An Investigation of Anomaly-based Ensemble Models for Multi-domain Intrusion Detection
by Mikhail, Joseph W., D.Engr.  The George Washington University. 2019: 117 pages; 10977908.
16.
Predicting “Essential” Genes in Microbial Genomes: A Machine Learning Approach to Knowledge Discovery in Microbial Genomic Data
by Palaniappan, Krishnaveni, Ph.D.  Nova Southeastern University. 2010: 252 pages; 3428281.
17.
Cross-Lingual Word Sense Disambiguation for Low-Resource Hybrid Machine Translation
by Rudnick, Alexander James, Ph.D.  Indiana University. 2018: 167 pages; 13422906.
18.
Taxonomic assignment of gene sequences using hidden Markov models
by Huang, Huanhua, M.S.  Northern Arizona University. 2014: 54 pages; 1563863.
19.
An efficient approach to machine learning based text classification through distributed computing
by Immaneni, Raghu Nandan, M.S.  California State University, Long Beach. 2015: 86 pages; 1603338.
20.
System for Identifying Plankton from the SIPPER Instrument Platform
by Kramer, Kurt A., Ph.D.  University of South Florida. 2010: 134 pages; 3432570.
21.
Advanced techniques for semantic concept detection in general videos
by Jiang, Wei, Ph.D.  Columbia University. 2010: 179 pages; 3420869.
22.
Application of a Hidden Bayes Naïve Multiclass Classifier in Network Intrusion Detection
by Koc, Levent, Ph.D.  The George Washington University. 2013: 146 pages; 3546303.
23.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
24.
Adding Intelligence to a Floor Based Array Personnel Detector
by Muheidat, Fadi, M.S.  University of Missouri - Columbia. 2015: 122 pages; 13849576.
25.
Structure prediction and visualization in molecular biology
by Poultney, Christopher S., Ph.D.  New York University. 2010: 131 pages; 3408352.
27.
Unbiased Phishing Detection Using Domain Name Based Features
by Shirazi, Hossein, M.S.  Colorado State University. 2018: 72 pages; 10826588.
28.
R-Eye: An image processing-based embedded system for face detection and tracking
by Patel, Brindal A., M.S.  California State University, Long Beach. 2016: 41 pages; 10141532.
29.
Average likelihood method for classification of CDMA
by Vega Irizarry, Alfredo, Ph.D.  State University of New York at Buffalo. 2016: 143 pages; 10127689.
30.
Identification and Representation of Caused Motion Constructions
by Hwang, Jena D., Ph.D.  University of Colorado at Boulder. 2014: 193 pages; 3672431.
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