2485 search results - page 223 / 497 » Distributed parameter estimation in networks |
98
Voted
NECO
2008
15 years 17 days ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
141
Voted
ICASSP
2009
IEEE
14 years 10 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
98
Voted
ISNN
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. This paper proposes a new method to discriminate the vascular conditions from biological signals by using a probabilistic neural network, and develops the diagnosis suppo...
107
Voted
LCN
2006
IEEE
15 years 6 months ago
2006
IEEE
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
108
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...