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» Bayesian Parameter Estimation: A Monte Carlo Approach
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WSC
1997
13 years 8 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick
ILP
2004
Springer
14 years 21 days ago
A Monte Carlo Study of Randomised Restarted Search in ILP
Recent statistical performance surveys of search algorithms in difficult combinatorial problems have demonstrated the benefits of randomising and restarting the search procedure. ...
Filip Zelezný, Ashwin Srinivasan, David Pag...
NIPS
2007
13 years 8 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
IROS
2009
IEEE
131views Robotics» more  IROS 2009»
14 years 2 months ago
A Multi-Element generalized Polynomial Chaos approach to analysis of mobile robot dynamics under uncertainty
— The ability of mobile robots to quickly and accurately analyze their dynamics is critical to their safety and efficient operation. In field conditions, significant uncertainty ...
Gaurav Kewlani, Karl Iagnemma
CCS
2009
ACM
13 years 11 months ago
The bayesian traffic analysis of mix networks
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
Carmela Troncoso, George Danezis