1261 search results - page 23 / 253 » Improved learning of Bayesian networks |
AI
2007
Springer
14 years 1 months ago
2007
Springer
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
BMCBI
2008
13 years 7 months ago
2008
Background: Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using...
NECO
2000
13 years 7 months ago
2000
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
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...
ACL
2012
11 years 10 months ago
2012
We present a novel extension to a recently proposed incremental learning algorithm for the word segmentation problem originally introduced in Goldwater (2006). By adding rejuvenat...