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138
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ICASSP
2009
IEEE
15 years 10 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
149
Voted
IDA
2009
Springer
15 years 10 months ago
Bayesian Non-negative Matrix Factorization
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen
130
Voted
SIGECOM
2009
ACM
132views ECommerce» more  SIGECOM 2009»
15 years 10 months ago
Limited and online supply and the bayesian foundations of prior-free mechanism design
We study auctions for selling a limited supply of a single commodity in the case where the supply is known in advance and the case it is unknown and must be instead allocated in a...
Nikhil R. Devanur, Jason D. Hartline
ICPR
2008
IEEE
15 years 10 months ago
A Bayesian Local Binary Pattern texture descriptor
In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel Filtering, Labeling and Statistic (FLS) framework for texture descriptors. In the framew...
Chu He, Timo Ahonen, Matti Pietikäinen
132
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ATAL
2004
Springer
15 years 9 months ago
Bayesian Reinforcement Learning for Coalition Formation under Uncertainty
Research on coalition formation usually assumes the values of potential coalitions to be known with certainty. Furthermore, settings in which agents lack sufficient knowledge of ...
Georgios Chalkiadakis, Craig Boutilier