2868 search results - page 335 / 574 » Inference in Bayesian Networks |
190
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
159
click to vote
IMC
2003
ACM
15 years 11 months ago
2003
ACM
Internet Service Providers (ISPs) can exploit path diversity to balance load and improve robustness. Unfortunately, it is difficult to evaluate the potential impact of these appr...
191
click to vote
CORR
2012
Springer
14 years 1 months ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
168
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
163
click to vote
WWW
2008
ACM
16 years 7 months ago
2008
ACM
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...