19 search results - page 2 / 4 » Using the Central Limit Theorem for Belief Network Learning |
AVSS
2006
IEEE
13 years 11 months ago
2006
IEEE
The problem of decision fusion in a large wireless sensor system with many power-constrained distributed nodes is considered. The sensor network is assumed to be inhomogeneous. i....
INFFUS
2006
13 years 4 months ago
2006
A distributed detection and decision fusion scheme is proposed for a wireless sensor network (WSN) consisting of a large number of sensors. At the fusion center, the total number ...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
HUC
2010
Springer
13 years 5 months ago
2010
Springer
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...