34 search results - page 3 / 7 » Structural-EM for learning PDG models from incomplete data |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
AII
1992
13 years 12 months ago
1992
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
MLG
2007
Springer
14 years 1 months ago
2007
Springer
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
BMCBI
2010
13 years 7 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
ALT
1994
Springer
13 years 12 months ago
1994
Springer
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...