1380 search results - page 185 / 276 » Learning Hierarchical Shape Models from Examples |
BMCBI
2008
13 years 10 months ago
2008
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
VC
2008
13 years 10 months ago
2008
: Assembly/disassembly (A/D) simulations using haptic devices are facing difficulties while simulating insertion/extraction such as cylinders from holes. In order to address this c...
JMLR
2010
13 years 5 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
EUROCOLT
1999
Springer
14 years 2 months ago
1999
Springer
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
NAACL
2004
13 years 11 months ago
2004
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...