248 search results - page 7 / 50 » Learning the Structure of Dynamic Probabilistic Networks |
BIOCOMP
2006
13 years 9 months ago
2006
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
ILP
1999
Springer
13 years 12 months ago
1999
Springer
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
JMLR
2010
13 years 2 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
BIOINFORMATICS
2006
13 years 7 months ago
2006
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...