We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gu...
Complexity of distributed real-time applications such as automotive electronics has increased dramatically over the last couple of years. As a result, developing communication pro...
Abstract. A hybrid workflow system could be treated as a domain-across infrastructure by incorporating different workflow systems and WfMSs engaged in the complex business processi...
Wan-Chun Dou, Shing-Chi Cheung, Guihai Chen, Jie W...