385 search results - page 37 / 77 » A Bayesian Approach to High-Throughput Biological Model Gene... |
NIPS
2007
13 years 9 months ago
2007
The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is us...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
BMCBI
2007
13 years 7 months ago
2007
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
NIPS
2004
13 years 9 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...