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1.
Bayesian estimation for tracking of spiraling reentry vehicles
by Tapiero Bernal, Juan E., M.S.  Marquette University. 2013: 86 pages; 1534305.
2.
Modular Bayesian filters
by Edgington, Padraic D., Ph.D.  University of Louisiana at Lafayette. 2015: 366 pages; 3712276.
3.
Objective Bayesian inference for stress-strength models and Bayesian ANOVA
by Min, Xiaoyi, Ph.D.  University of Missouri - Columbia. 2012: 128 pages; 3537873.
5.
Multi-sensor Bayesian estimation interior positioning for stationary and mobile structures
by Tanju, Bereket R., Ph.D.  The George Washington University. 2010: 222 pages; 3433516.
6.
Smart Power Grid Synchronization with Nonlinear Estimation
by Darvish, Hossein, M.S.  Southern Illinois University at Edwardsville. 2015: 55 pages; 1589157.
7.
Applications of Genomic Resources and Bayesian Inference Methods to the Breeding of Peach [Prunus persica (L.) Batsch]
by Fresnedo Ramirez, Jonathan, Ph.D.  University of California, Davis. 2014: 168 pages; 3646288.
8.
Hybrid - Nudging Ensemble Kalman Filter and Ensemble Adjustment Kalman Filter Approach to Subsurface Water Contaminant Transport Modeling
by Hokey, Wisdom Mawuli, M.S.  North Carolina Agricultural and Technical State University. 2016: 76 pages; 10118469.
9.
Accurate Localization Given Uncertain Sensors
by Kramer, Jeffrey A., M.S.  University of South Florida. 2010: 285 pages; 1492929.
10.
Bayesian mortgage default models
by Xu, Feng, Ph.D.  The George Washington University. 2008: 157 pages; 3316109.
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13.
Comparative study of speckle reduction approaches
by Li, Yikang, M.S.  The George Washington University. 2013: 68 pages; 1537954.
15.
Localization and Mapping Using GNSS SNR Measurements
by Irish, Andrew Theodore, Ph.D.  University of California, Santa Barbara. 2019: 139 pages; 22621863.
16.
A structure based technique for spam detection and email classification
by Desai, Varun, M.S.  California State University, Long Beach. 2016: 56 pages; 10017844.
18.
Networks of mixture blocks for non parametric Bayesian models with applications
by Porteous, Ian, Ph.D.  University of California, Irvine. 2010: 123 pages; 3403449.
19.
A particle filter methodology for salient object detection in videos
by Soma, Venkata Manikrishna, M.S.  California State University, Long Beach. 2016: 31 pages; 10142985.
20.
Short-Term Tracking of Orientation with Inertial Sensors
by Sedaghat, Golriz, M.S.  Portland State University. 2018: 88 pages; 10747107.
21.
Computational Mechanisms of Selective Attention During Reinforcement Learning
by Radulescu, Angela , Ph.D.  Princeton University. 2020: 133 pages; 27964412.
22.
Prediction for the Change of the Concentration of Radioactive Gas Using Particle Filtering Method
by Jiang, Yichen, M.S.  State University of New York at Binghamton. 2017: 88 pages; 10620833.
23.
Wavelet transform and neural network
by Ghafoori, Elyar, M.S.  California State University, Long Beach. 2014: 60 pages; 1527935.
24.
Uncertainty Aggregation in System Performance Assessment
by Nannapanemi, Saideep, Ph.D.  Vanderbilt University. 2017: 188 pages; 13835161.
25.
Detecting Failures and Locating Faults in Global Scale Online Services Using Bayesian Networks
by Knutsen, Eric E., D.Engr.  The George Washington University. 2020: 95 pages; 27544911.
26.
The cyclical behavior of prices and inflation
by Li, Xue, Ph.D.  University of Missouri - Columbia. 2015: 139 pages; 10178996.
27.
A Dynamic Competing Risk Model for Filtering Reliability and Tracking Survivability
by Martin, Owen S., Ph.D.  The George Washington University. 2012: 137 pages; 3490816.
30.
Noise, Quantization, and Priors in Neural Networks
by Anderson, Alexander G., Ph.D.  University of California, Berkeley. 2018: 87 pages; 10822107.
1 - 30 of 12549 displayed.
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