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ICML
2008
IEEE
16 years 8 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ICML
1998
IEEE
16 years 8 months ago
Value Function Based Production Scheduling
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
WWW
2006
ACM
16 years 8 months ago
Determining user interests about museum collections
Currently, there is an increasing effort to provide various personalized services on museum web sites. This paper presents an approach for determining user interests in a museum c...
Lloyd Rutledge, Lora Aroyo, Natalia Stash
WWW
2004
ACM
16 years 8 months ago
Designing and Creating a Web Site Based on RDF Content
This paper presents a method and a tool for designing and automatically creating an HTML web site for publishing Semantic Web content represented in RDF(S). The idea is to specify...
Eero Hyvönen, Kim Viljanen, Markus Holi
CP
2009
Springer
16 years 7 months ago
Constraint-Based Optimal Testing Using DNNF Graphs
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
Anika Schumann, Martin Sachenbacher, Jinbo Huang