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146
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NIPS
2007
15 years 6 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
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...
Ruslan Salakhutdinov, Geoffrey E. Hinton
CATA
2003
15 years 6 months ago
Query Processing the Heterogeneous Information Sources using Ontology-based Approach
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...
PDSE
1998
131views more  PDSE 1998»
15 years 6 months ago
A Formally Founded Description Technique for Business Processes
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 ...
Veronika Thurner
CORR
2007
Springer
74views Education» more  CORR 2007»
15 years 4 months ago
Redesigning Decision Matrix Method with an indeterminacy-based inference process
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 ...
Jose L. Salmeron, Florentin Smarandache
134
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CCE
2007
15 years 4 months ago
Control of integrated process networks - A multi-time scale perspective
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...
Michael Baldea, Prodromos Daoutidis