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1.
Model combination in multiclass classification
by Reid, Samuel Robert, Ph.D.  University of Colorado at Boulder. 2010: 182 pages; 3404055.
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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.
4.
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.
5.
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.
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A Smart Design Framework for a Novel Reconfigurable Multi-Processor Systems-on-Chip (ASREM) Architecture
by Dutta, Anandi, Ph.D.  University of Louisiana at Lafayette. 2016: 127 pages; 10163349.
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Various considerations on performance measures for a classification of ordinal data
by Nyongesa, Denis Barasa, M.S.  California State University, Long Beach. 2016: 111 pages; 10133995.
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Unsupervised Generative Capsule Neural Networks
by Serowik, Justin J., Master's  Stevens Institute of Technology. 2018: 29 pages; 13420362.
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A mobile and cloud-based framework for plant stress detection from crowdsourced visual and infrared imagery
by Zukowski, Daniel, M.S.  University of Colorado at Boulder. 2016: 65 pages; 10124049.
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Modeling shape, appearance and motion for human movement analysis
by Lin, Zhe, Ph.D.  University of Maryland, College Park. 2009: 153 pages; 3359399.
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Statistical analysis of decision trees
by Baskaya, Bengu, M.S.  California State University, Long Beach. 2011: 96 pages; 1493089.
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A new approach of top -down induction of decision trees for knowledge discovery
by Lee, Jun-Youl, Ph.D.  Iowa State University. 2008: 186 pages; 3307038.
16.
Effects of Qualitative Factor and Weight Assignment In Multi-criteria Inventory Ranking Method
by K. C., Manish, M.S.  University of Louisiana at Lafayette. 2014: 83 pages; 1592388.
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Scheduling of generalized Cambridge rings
by Bauer, Daniel Howard, Ph.D.  The University of Texas at Austin. 2009: 186 pages; 3372348.
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Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
20.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
21.
Firmware and classification algorithm development for vehicle classification
by Ravindra, Dilip, M.S.  California State University, Long Beach. 2015: 37 pages; 1603749.
22.
Levee slide detection using synthetic aperture radar magnitude and phase
by Marapareddy, Ramakalavathi, Ph.D.  Mississippi State University. 2015: 196 pages; 3737165.
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An investigation of data privacy and utility using machine learning as a gauge
by Mivule, Kato, D.Sc.  Bowie State University. 2014: 262 pages; 3619387.
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Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
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Data mining techniques to enable large-scale exploratory analysis of heterogeneous scientific data
by Chopra, Pankaj, Ph.D.  North Carolina State University. 2009: 146 pages; 3360622.
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MapSearch: A protocol and prototype application to find maps
by Gelernter, Judith, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2008: 139 pages; 3322148.
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Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
30.
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.
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