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Controlling with Model Trees
by Kemerling, Robert Alan, Ph.D.  Nova Southeastern University. 2011: 121 pages; 3478677.
5.
Prioritized Grammar Enumeration: A novel method for symbolic regression
by Worm, Anthony, Ph.D.  State University of New York at Binghamton. 2016: 180 pages; 10137419.
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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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Plant uptake, time trends, and natural attenuation of selected metals in an abandoned mining district
by Andrews, William James, Ph.D.  The University of Oklahoma. 2011: 130 pages; 3449545.
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Exploring the relationship between trees and stress in the urban environment
by Townsend, Joseph B., Ph.D.  University of Delaware. 2014: 139 pages; 3685154.
9.
Log grade volume distribution model for tree species in red oak-sweetgum forests in Southern bottomlands
by Banzhaf, George Maynard, M.S.  Mississippi State University. 2009: 89 pages; 1467236.
10.
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.
12.
The Effects of Urban Trees and Compost as Soil Amendment for Katrina-flooded Ninth Ward of New Orleans
by Akinrinwoye, Caroline Olufunke, M.S.  Southern University and Agricultural and Mechanical College. 2018: 94 pages; 10817075.
14.
Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
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Data mining techniques for constructing jury selection models
by Espy, John, M.S.  California State University, Long Beach. 2013: 48 pages; 1527548.
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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.
17.
Use of hydroclimatic forecasts for improved water management in central Texas
by Wei, Wenge, Ph.D.  Michigan Technological University. 2010: 135 pages; 3439136.
19.
Regression Strategies for Low-Dimensional Problems with Application to Color Management
by Garcia, Eric K., Ph.D.  University of Washington. 2010: 102 pages; 3445541.
20.
Geospatial Technology Applications to Strawberry, Grape and Citrus Production Systems
by Saraswat, Dharmendra, Ph.D.  The Ohio State University. 2007: 301 pages; 10835955.
21.
Roughened Random Forests for Binary Classification
by Xiong, Kuangnan, Ph.D.  State University of New York at Albany. 2014: 136 pages; 3624962.
22.
Local spatial modeling using Geographically Weighted Regression (GWR)
by Wankie, Che, M.S.  California State University, Long Beach. 2013: 112 pages; 1523087.
23.
Regionalization of hydrologic response in the Great Lakes basin: Considerations of temporal variability
by Kult, Jonathan, M.S.  The University of Wisconsin - Milwaukee. 2013: 77 pages; 1540448.
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Measurement of fine spatial scale ecohydrologic gradients in a pinyon-juniper ecosystem
by Madsen, Matthew D., M.S.  Utah State University. 2008: 107 pages; 1456508.
26.
Predicting the Success of Running Back Prospects in the National Football League
by Merritt, Kevin M., M.S.  California State University, Long Beach. 2017: 103 pages; 10287281.
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Synthesizing multiple data sources to understand the population and community ecology of California trees
by Solera, Melissa Viola Eitzel, Ph.D.  University of California, Berkeley. 2014: 175 pages; 3686015.
28.
Variance function estimation in nonparametric regression model
by Wang, Lie, Ph.D.  University of Pennsylvania. 2008: 77 pages; 3328698.
29.
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.
30.
Forest communities along soil, acid deposition, and climate gradients of the Appalachian Trail
by Quant, Juliana, M.S.  State University of New York College of Environmental Science and Forestry. 2014: 120 pages; 1560747.
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