We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
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...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
Deep Space One will be the rst spacecraft to be controlled by an autonomous agent potentially capable of carrying out a complete mission with minimal commandingfrom Earth. The New...
Nicola Muscettola, Paul H. Morris, Barney Pell, Be...
- Two challenges for the accurate prediction of GHz CMOS analog/RF building blocks are presented. Challenging the usage of new compact MOSFET models enhances the simulation accurac...