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4.
An N-gram enhanced learning classifier for Chinese character recognition
by Ayer, Eliot William, M.S.  California State University, Long Beach. 2013: 53 pages; 1524176.
5.
In-Node Machine Learning-based Vehicle Classification
by Bhattarya, Rahul, M.S.  California State University, Long Beach. 2018: 62 pages; 10837826.
6.
360° View Camera Based Visual Assistive Technology for Contextual Scene Information
by Ali, Mazin, M.S.  Rochester Institute of Technology. 2017: 54 pages; 10621991.
7.
System for Identifying Plankton from the SIPPER Instrument Platform
by Kramer, Kurt A., Ph.D.  University of South Florida. 2010: 134 pages; 3432570.
9.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
10.
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.
11.
Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
12.
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.
13.
A Coherent Classifier/Prediction/Diagnostic Problem Framework and Relevant Summary Statistics
by Eiland, E. Earl, Ph.D.  New Mexico Institute of Mining and Technology. 2017: 173 pages; 10617960.
14.
Performance of an SVM Classifier on Non-invasive EEG for a 2-State BCI Controller
by Samayamantri, Krishna Vijay, M.S.  California State University, Los Angeles. 2019: 160 pages; 13880546.
15.
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.
17.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
18.
An image-based facial expression recognition system using LDA classifier
by Patel, Milan D., M.S.  California State University, Long Beach. 2016: 54 pages; 10196292.
20.
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.
21.
Learning to segment images into material and object classes
by McHenry, Kenton Guadron, Ph.D.  University of Illinois at Urbana-Champaign. 2008: 104 pages; 3314967.
22.
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.
23.
Positive-Unlabeled Learning in the Context of Protein Function Prediction
by Youngs, Noah, Ph.D.  New York University. 2014: 160 pages; 3665223.
24.
Acquiring Information from Wider Scope to Improve Event Extraction
by Liao, Shasha, Ph.D.  New York University. 2012: 103 pages; 3524290.
25.
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.
26.
Self -taught learning
by Raina, Rajat, Ph.D.  Stanford University. 2009: 155 pages; 3382948.
27.
Interactive Learning for Sequential Decisions and Predictions
by Ross, Stephane, Ph.D.  Carnegie Mellon University. 2013: 294 pages; 3575525.
28.
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.
29.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
30.
Learning from Temporally-Structured Human Activities Data
by Lipton, Zachary C., Ph.D.  University of California, San Diego. 2017: 274 pages; 10683703.
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