273 search results - page 31 / 55 » Learning the Structure of Deep Sparse Graphical Models |
ICA
2012
Springer
12 years 4 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
MLG
2007
Springer
14 years 2 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...
RE
2007
Springer
14 years 2 months ago
2007
Springer
Designing a secure and dependable system is not just a technical issue, it involves also a deep analysis of the organizational and the social environment in which the system will ...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
NIPS
2003
13 years 10 months ago
2003
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...