We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
The problems of accessing and integrating heterogeneous information sources are becoming centerstage problems. One problem arising from accessing heterogeneous sources is semantic...
Ngamnij Arch-int, Yuefeng Li, Paul Roe, Peraphon S...
As a means of modeling typical system behavior, we present a description technique for business processes derived from data flow nets and provide it with a formal semantics based ...
For academics and practitioners concerned with computers, business and mathematics, one central issue is supporting decision makers. In this paper, we propose a generalization of ...
In this paper, we analyze the dynamics of integrated process networks featuring large recycle streams and small purge streams. We consider a prototype network comprising of a reac...