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91.
93.
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.
94.
Using Machine Learning Methods to Predict NFL Victors
by Urista Benitez, Octavio Misael, M.S.  California State University, Long Beach. 2017: 88 pages; 10606129.
96.
Estimation of DBH Using Tree Variables Derived from Aerial LiDAR for Ford Forest, Baraga, Michigan
by Demiraslan, Tugay, M.S.  Michigan Technological University. 2018: 104 pages; 13422276.
97.
Random Graphs with Attribute Affinity
by Radcliffe, Mary L., Ph.D.  University of California, San Diego. 2012: 91 pages; 3511135.
98.
A three-dimensional heat and mass transport model for a tree within a forest
by Ballard, Jerrell Ray, Jr., Ph.D.  Mississippi State University. 2011: 151 pages; 3466557.
99.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
100.
Predictive models of cytotoxicity as mediated by exposure to environmental toxicants and drugs
by Cong, Ming, M.S.  California State University, Long Beach. 2015: 48 pages; 1602562.
101.
Assessing Plant Diversity to Enable Continental-Scale Monitoring and Forecasting
by Barnett, David T., Ph.D.  Colorado State University. 2017: 143 pages; 10280597.
102.
On mixing rates for random perturbations
by Zhikun, Du, Ph.D.  National University of Singapore (Singapore). 2015: 134 pages; 10005996.
103.
Geometric representations and deep Gaussian conditional random field networks for computer vision
by Vemulapalli, Raviteja, Ph.D.  University of Maryland, College Park. 2016: 185 pages; 10192530.
104.
Fine-scale Properties of Random Functions
by Courcy-Ireland, Matthew de, Ph.D.  Princeton University. 2018: 138 pages; 10933151.
105.
Estimating Predator Density and Activity within a Fragmented Landscape
by Kaiser, Jacob, M.S.  Southern Illinois University at Edwardsville. 2017: 77 pages; 10686231.
106.
Spectral properties of random block operators
by Chapman, Jacob W., Ph.D.  The University of Alabama at Birmingham. 2013: 166 pages; 3561259.
107.
Analysis techniques for nudged random processes
by Freire, Juliana, Ph.D.  New York University. 2009: 203 pages; 3365699.
108.
Market Mechanisms and Efficient Allocation of Water: Modelling Water Prices, Option Contracts on Water and Enhancing Frameworks
by McColly, Quinn Patrick, Ph.D.  Texas A&M University - Corpus Christi. 2020: 181 pages; 27835418.
109.
Character estimates and random walks on SU( n)
by Manack, Corey, Ph.D.  Indiana University. 2010: 101 pages; 3432193.
110.
Dynamics of 2D Potts and Random-Cluster Models
by Gheissari, Reza, Ph.D.  New York University. 2019: 320 pages; 13810437.
111.
Random testing of open source C compilers
by Yang, Xuejun, Ph.D.  The University of Utah. 2015: 145 pages; 3704288.
112.
Algorithms for Reconstruction of Gene Regulatory Networks from High-Throughput Gene Expression Data
by Deng, Wenping, Ph.D.  Michigan Technological University. 2018: 100 pages; 13420080.
113.
Optimal Advertisement Scheduling in Breaks of Random Lengths
by Aravamudhan, Ajay S., M.Sc.  Singapore Management University (Singapore). 2012: 99 pages; 1510792.
115.
Random Linear Network Coding with Added Prefix Bits
by Mickey, Joshua, M.S.  University of Louisiana at Lafayette. 2017: 68 pages; 10682547.
118.
Critical behavior for the model of random spatial permutations
by Kerl, John, Ph.D.  The University of Arizona. 2010: 206 pages; 3402085.
119.
Random Sparse Graphs with a Given Degree Sequence
by Mehrdad, Behzad, Ph.D.  New York University. 2014: 100 pages; 3635276.
120.
Analyzing Red and Gray Stages of Bark Beetle Attack in the San Bernardino National Forest Using Remote Sensing
by Morgan, Andy J., M.A.  California State University, Long Beach. 2017: 87 pages; 10263607.
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