150 search results - page 14 / 30 » Modelling Multiagent Bayesian Networks with Inclusion Depend... |
ICDM
2002
IEEE
14 years 13 days ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biologi...
FGR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we describe a dynamic Bayesian network or DBN based approach to both two-hand gestures and onehand gestures. Unlike wired glove-based approaches, the success of cam...
VLSID
2005
IEEE
14 years 7 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
on models are abstract representations of systems one wants to study through computer simulation. In multiagent based simulation, such models usually represent agents and their re...