506 search results - page 67 / 102 » Learning Bayesian Networks from Incomplete Databases |
BMCBI
2010
14 years 10 months ago
2010
Background: A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is ...
VLDB
2001
ACM
15 years 2 months ago
2001
ACM
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
NIPS
2008
14 years 11 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
ICDAR
2003
IEEE
15 years 3 months ago
2003
IEEE
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
ICPR
2010
IEEE
14 years 8 months ago
2010
IEEE
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...