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1.
Minimax Bounds for Estimation of Normal Location Mixtures
by Kim, Kyoung Hee, Ph.D.  Yale University. 2012: 88 pages; 3525199.
2.
Minimax design of parallel multi-mass dynamic vibration absorbers
by Kee, Kerk Cheng, M.S.  State University of New York at Buffalo. 2011: 87 pages; 1495447.
3.
Nonparametric regression using wavelet transformations and noise reduction in audio signals
by Brothers, Jonathan, M.S.  California State University, Long Beach. 2009: 173 pages; 1466191.
5.
Variance function estimation in nonparametric regression model
by Wang, Lie, Ph.D.  University of Pennsylvania. 2008: 77 pages; 3328698.
6.
Go niche or go home: Influence maximization in the presence of strong opponent
by Liow Long Foong, Mike, M.Sc.  Singapore Management University (Singapore). 2012: 60 pages; 1548072.
9.
Mathematical Programming and Magic: The Gathering®
by Esche, Alexander, M.S.  Northern Illinois University. 2018: 51 pages; 10689404.
10.
Functional Regressions for General Exponential Families: A Theoretical and Applied Study
by Dou, Wei, Ph.D.  Yale University. 2010: 116 pages; 3440627.
11.
Game-theoretic Approaches for Generative Modeling
by Gao, Jian, Ph.D.  New York University Tandon School of Engineering. 2020: 207 pages; 27672221.
12.
Goal-Based Agent Design: Decision Making in General Game Playing
by Sheng, Xinxin, Ph.D.  North Carolina State University. 2011: 180 pages; 3497189.
13.
Parallel functional programming with mutable state
by Bergstrom, Lars, Ph.D.  The University of Chicago. 2013: 133 pages; 3568360.
15.
Optimal designs for segmented polynomial regression models and web-based implementation of optimal design software
by Wu, XiangFeng, Ph.D.  State University of New York at Stony Brook. 2007: 81 pages; 3337619.
16.
Fused Lasso and Tensor Covariance Learning with Robust Estimation
by Kunz, Matthew Ross, Ph.D.  The Florida State University. 2018: 82 pages; 10973227.
17.
Essays on Portfolio Theory and Applications
by Jin, Yong, Ph.D.  University of Florida. 2016: 92 pages; 10679132.
18.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
20.
Primal-dual interior-point algorithms for linear programs with many inequality constraints
by Winternitz, Luke Michael Blohm, Ph.D.  University of Maryland, College Park. 2010: 273 pages; 3409883.
21.
Time-Dependent Vehicle Routing and Assignment in No-Notice Evacuations
by Kuru, Ismail Cem, M.S.  Southern Illinois University at Edwardsville. 2013: 82 pages; 1545446.
22.
Exploiting Structure in Data: Sampling and Signal Processing on Graphs
by Varma, Rohan Anilkumar, Ph.D.  Carnegie Mellon University. 2020: 211 pages; 27739115.
23.
Control theoretic approach to sampling and approximation problems
by Bulanova, Anna S., Ph.D.  University of Alaska Fairbanks. 2009: 87 pages; 3386294.
24.
Response surface analysis of trapped-vortex augmented airfoils
by Zope, Anup Devidas, M.S.  Mississippi State University. 2015: 93 pages; 1604198.
25.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
26.
The folk theorem in repeated games with private monitoring
by Sugaya, Takuo, Ph.D.  Princeton University. 2012: 313 pages; 3522566.
27.
Political ground truth: How personal issue experience counters partisan biases
by Strauss, Aaron B., Ph.D.  Princeton University. 2009: 234 pages; 3377998.
28.
Development of Prognostic Systems for Cancer Patients
by Wang, Huan, Ph.D.  The George Washington University. 2020: 102 pages; 27832139.
29.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
30.
Collaborative Team Evasion Against a Faster Pursuer
by Liu, Shih-Yuan, Ph.D.  University of California, Berkeley. 2014: 134 pages; 3686396.
1 - 30 of 148 displayed.
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