Theses most similar to those of author Ihler, Alexander T. (Alexander Thomas), 1976-
Inference in sensor networks : graphical models and particle methods (2005) read it
Low-complexity approaches to distributed data dissemination
Coleman, Todd P. (Todd Prentice), 1977- (2006)
- Advisor: Médard, Muriel
- Department of Electrical Engineering and Computer Science
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
Graphical models and message-passing algorithms for network-constrained decision problems
Kreidl, O. Patrick (2008)
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
- Advisors: Alan S. Willsky; Antonio Torralba
- Department of Electrical Engineering and Computer Science
Large-deviation analysis and applications Of learning tree-structured graphical models
Tan, Vincent Yan Fu (2011)
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
- Advisor: John Fisher
- Department of Electrical Engineering and Computer Science
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
Probabilistic graphical models : distributed inference and learning models with small feedback vertex sets
Computer Science, fl. 2014-; Liu, Ying. Department of Electrical Engineerin (2014)
- Advisor: Alan S. Willsky
- Department of Electrical Engineering and Computer Science
- Advisor: Constantinos Daskalakis
- Department of Electrical Engineering and Computer Science
Stochastic processes on graphs with cycles : geometric and variational approaches
Wainwright, Martin J. (Martin James), 1973- (2002)
- Advisors: Alan S. Willsky; Jaakkola, Tommi S. (Tommi Sakari)
- Department of Electrical Engineering and Computer Science
Maximally informative subspaces : nonparametric estimation for dynamical systems (2000) read it
- Advisors: Deyst, John J. (John Jacob); Wallace E. VanderVelde
- Department of Aeronautics and Astronautics
Applications of empirical processes in learning theory : algorithmic stability and generalization bounds
Rakhlin, Alexander (2006)
- Advisor: Tomaso Poggio
- Department of Brain and Cognitive Sciences
Construction of nonlinear filter algorithms using the saddlepoint approximation
Amayo, Esosa O (2006)
- Advisors: Emery N. Brown; John L. Wyatt, Jr.
- Department of Electrical Engineering and Computer Science
Maximum likelihood estimation of fractional Brownian motion and Markov noise parameters
Skeen, Matthew E. (Matthew Edward) (1991)
- Advisor: Michael E. Ash
- Department of Aeronautics and Astronautics
Multiscale state-space algorithms for processing 1/f signals
Wang, Alexander C. (Alexander Che-Wei) (1997)
- Advisor: Arthur B. Baggeroer
- Department of Electrical Engineering and Computer Science
K-distribution fading models for Bayesian estimation of an underwater acoustic channel
Laferriere, Alison Beth (2011)
- Advisor: James C. Preisig
- Department of Electrical Engineering and Computer Science
A framework for non-Gaussian signal modeling and estimation
Verbout, Shawn M. (Shawn Matthew) (1999)
- Advisors:
- Department of Electrical Engineering and Computer Science
- Advisor: Marzouk, Youssef M. (Youssef Mohamed)
- Computation for Design and Optimization Program
- Advisor: Gregory W. Wornell
- Department of Electrical Engineering and Computer Science
Reduced-space Gaussian process regression forecast for nonlinear dynamical systems
Wan, Zhong Yi (2016)
- Advisor: Themistoklis P. Sapsis
- Computation for Design and Optimization Program