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» A Bayesian Approach to Tackling Hard Computational Problems
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UAI
2008
15 years 1 months ago
Hierarchical POMDP Controller Optimization by Likelihood Maximization
Planning can often be simplified by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be...
Marc Toussaint, Laurent Charlin, Pascal Poupart
EVOW
2008
Springer
15 years 1 months ago
Particle Swarm Optimization for Tackling Continuous Review Inventory Models
We propose an alternative algorithm for solving continuous review inventory model problems for deteriorating items over a finite horizon. Our interest focuses on the case of timeā...
Konstantinos E. Parsopoulos, K. Skouri, Michael N....
75
Voted
ICML
2005
IEEE
16 years 1 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
117
Voted
ICML
2001
IEEE
16 years 1 months ago
Bayesian approaches to failure prediction for disk drives
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
Greg Hamerly, Charles Elkan
127
Voted
AI
2006
Springer
15 years 15 days ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth