895 search results - page 25 / 179 » Distributed parameter and state estimation in a network of s... |
UAI
2004
13 years 11 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
ICASSP
2009
IEEE
14 years 5 months ago
2009
IEEE
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
HIS
2003
13 years 11 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
MDM
2007
Springer
14 years 4 months ago
2007
Springer
—Publish/Subscribe systems have been extensively studied in the context of distributed information-based systems, and have proven scalable in information-dissemination for many d...
AR
2005
13 years 10 months ago
2005
An important component of compliant motion control is the estimation of contact states during task execution. This paper addresses two fundamental questions that must be answered w...