254 search results - page 18 / 51 » Combining Bayesian Networks with Higher-Order Data Represent... |
JMLR
2010
14 years 4 months ago
2010
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
IJCAI
2007
14 years 11 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...