113 search results - page 8 / 23 » Bayesian optimization for sensor set selection |
TWC
2010
13 years 2 months ago
2010
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In the classic Bayesian restless multi-armed bandit (RMAB) problem, there are N arms, with rewards on all arms evolving at each time as Markov chains with known parameters. A play...
UAI
2003
13 years 8 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
PERCOM
2007
ACM
14 years 7 months ago
2007
ACM
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
UAI
2003
13 years 8 months ago
2003
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...