236 search results - page 25 / 48 » Learning How to Propagate Using Random Probing |
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
BSN
2006
IEEE
14 years 3 months ago
2006
IEEE
Ubiquitous computing has established a vision of computation where computers are so deeply integrated into our lives that they become both invisible and everywhere. In order to ha...
AUSAI
2003
Springer
14 years 2 months ago
2003
Springer
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
AMAI
2004
Springer
14 years 2 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
BMCBI
2010
13 years 9 months ago
2010
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...