Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
More than a process-automating tool, telemedicine is increasingly recognized for its ability to facilitate collaboration and knowledge creation between disparate healthcare provid...
Houghton G. Brown, Marshall Scott Poole, Thomas Le...
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...