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1.
Performance analysis and inference of communication networks
by Ni, Jian, Ph.D.  Yale University. 2008: 178 pages; 3342752.
2.
Robust network inference with multivariate t-distributions
by Finegold, Michael A., Ph.D.  The University of Chicago. 2010: 94 pages; 3419771.
3.
Information theoretic approaches towards regulatory network inference
by Chaitankar, VIjender, Ph.D.  Virginia Commonwealth University. 2012: 125 pages; 3550865.
4.
Robust Inference and Network Analysis for Non-Gaussian Gene-Expression Data
by Specht, Alicia T., Ph.D.  University of Notre Dame. 2017: 126 pages; 13836379.
5.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
6.
Topics in model-based population inference
by Schutt, Rachel, Ph.D.  Columbia University. 2010: 158 pages; 3400625.
7.
Using and Manipulating Probabilistic Connectivity in Social Networks
by DuBois, Thomas, Ph.D.  University of Maryland, College Park. 2011: 194 pages; 3461511.
9.
Deep Learning for Attribute Inference, Parsing, and Recognition of Face
by Luo, Ping, Ph.D.  The Chinese University of Hong Kong (Hong Kong). 2014: 122 pages; 3691916.
10.
Computational inference of genetic regulatory networks in human cancer cells
by Margolin, Adam Arne, Ph.D.  Columbia University. 2008: 282 pages; 3299359.
11.
Secure Distributed Inference
by Chen, Yuan, Ph.D.  Carnegie Mellon University. 2019: 169 pages; 13883829.
13.
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.
14.
Using Social Dynamics to Make Individual Predictions: Variational Inference with Stochastic Kinetic Model
by Xu, Zhen, Ph.D.  State University of New York at Buffalo. 2016: 118 pages; 10253123.
15.
Understanding the Global Transcriptional Regulatory Network of Bacillus subtilis
by Bate, Ashley R., Ph.D.  New York University. 2014: 236 pages; 3614850.
17.
Inference Algorithms and Sensorimotor Representations in Brains and Machines
by Mudigonda, Mayur, Ph.D.  University of California, Berkeley. 2019: 154 pages; 13904872.
18.
Automated Inference of Shilling Behavior in Online Auction Systems
by Dong, Fei, Ph.D.  University of Illinois at Chicago. 2012: 92 pages; 3551864.
19.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
21.
Landscape-based null models for archaeological inference
by Bocinsky, Ronald Kyle, Ph.D.  Washington State University. 2014: 216 pages; 3684754.
22.
Practical Inference-Time Attacks against Machine-Learning Systems and a Defense against Them
by Sharif, Mahmood, Ph.D.  Carnegie Mellon University. 2019: 137 pages; 27662625.
23.
Social network analysis: Determining betweenness centrality of a network using Ant Colony Optimization
by Rubano, Vincent, M.S.  Southern Connecticut State University. 2016: 117 pages; 10108549.
24.
Towards Fast and Efficient Representation Learning
by Li, Hao, Ph.D.  University of Maryland, College Park. 2018: 147 pages; 10845690.
25.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
26.
Analysis and Applications of the Locally Competitive Algorithm
by Paiton, Dylan M., Ph.D.  University of California, Berkeley. 2019: 99 pages; 13885693.
28.
Robust and efficient inference of scene and object motion in multi-camera systems
by Sankaranarayanan, Aswin C., Ph.D.  University of Maryland, College Park. 2009: 181 pages; 3391385.
29.
Generalized fiducial inference for mixed linear models
by Cisewski, Jessica, Ph.D.  The University of North Carolina at Chapel Hill. 2012: 151 pages; 3512608.
30.
Interactive Data Management and Data Analysis
by Yang, Ying, Ph.D.  State University of New York at Buffalo. 2017: 119 pages; 10288109.
1 - 30 of 29101 displayed.
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