598 search results - page 33 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
AIA
2007
13 years 9 months ago
2007
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
CIKM
1997
Springer
13 years 12 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
FATES
2003
Springer
14 years 29 days ago
2003
Springer
Use of model-checking approaches for test generation from requirement models have been proposed by several researchers. These approaches leverage the witness (or counter-example) ...
JFR
2006
13 years 7 months ago
2006
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
JMLR
2006
13 years 7 months ago
2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...