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1.
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.
2.
Predicting Substantiation of Office of Inspector General Investigations Using Multinomial Naïve Bayes and Natural Language Processing
by Starr, Alexis V., D.Engr.  The George Washington University. 2021: 119 pages; 28256297.
6.
Advances in online learning-based spam filtering
by Sculley, D., Ph.D.  Tufts University. 2008: 212 pages; 3320103.
8.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
9.
Structural induction: Towards automatic ontology elicitation
by Silvescu, Adrian, Ph.D.  Iowa State University. 2008: 187 pages; 3307040.
10.
Modeling content lifespan in Online Social Networks using data mining
by Gibbons, John, Ph.D.  University of Kansas. 2014: 111 pages; 3625219.
11.
Hierarchical Bayes estimation and empirical best prediction of small-area proportions
by Liu, Benmei, Ph.D.  University of Maryland, College Park. 2009: 223 pages; 3359401.
12.
Benchmarks for Evaluating Anomaly-Based Intrusion Detection Solutions
by Miller, Nicholas J., M.S.  California State University, Long Beach. 2018: 30 pages; 10752128.
13.
Feature selection techniques and applications in bioinformatics
by Dittman, David, M.S.  Florida Atlantic University. 2011: 147 pages; 1504155.
14.
In-Node Vehicle Classification and Identification
by Bavkar, Indraneel N., M.S.  California State University, Long Beach. 2017: 50 pages; 10639676.
15.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
17.
Needle in the Noise: Detecting Public Safety Events Over Twitter
by Paulson, Keith, M.Eng.  University of Colorado Colorado Springs. 2019: 52 pages; 13864461.
18.
A methodology for risk assessment of product line architectures
by Jalali, Amir H., M.S.  West Virginia University. 2008: 138 pages; 1458740.
19.
Predicting National Basketball Association Game Outcomes Using Ensemble Learning Techniques
by Valenzuela, Russell, M.S.  California State University, Long Beach. 2018: 54 pages; 10980443.
20.
21.
Ancestry Informative Markers Tailored to Hispanic Populations
by Setser, Casandra Hernandez, Ph.D.  University of North Texas Health Science Center at Fort Worth. 2020: 97 pages; 27837053.
23.
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.
24.
Prognostic Health Assessment of an Automotive Proton Exchange Membrane Fuel Cell System
by Rukas, Christopher J., M.S.  Rochester Institute of Technology. 2013: 105 pages; 1586450.
25.
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.
27.
Feature Selection on Permissions, Intents and APIs for Android Malware Detection
by Guyton, Fred, Ph.D.  Nova Southeastern University. 2021: 197 pages; 28491304.
28.
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.
29.
30.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
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