Background: The development of e-Science presents a major set of opportunities and challenges for the future progress of biological and life scientific research. Major new tools a...
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
The growing class of portable systems, such as personal computing and communication devices, has resulted in a new set of system design requirements, mainly characterized by domin...
Inki Hong, Darko Kirovski, Gang Qu, Miodrag Potkon...