321 search results - page 59 / 65 » Learning Bayesian Networks with Local Structure |
IJCNN
2008
IEEE
15 years 3 months ago
2008
IEEE
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
UAI
2004
14 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...
UAI
1997
14 years 11 months ago
1997
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper de nes a version of these mode...
77
Voted
AI
2000
Springer
14 years 9 months ago
2000
Springer
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Many firms these days, forced by increasing international competition and an unstable economy, are opting to specialize rather than generalize as a way of maintaining their compet...