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» A Discourse on Complexity of Process Models
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149
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JMLR
2010
202views more  JMLR 2010»
14 years 10 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
108
Voted
ICCAD
2002
IEEE
175views Hardware» more  ICCAD 2002»
16 years 17 days ago
Efficient model order reduction via multi-node moment matching
- The new concept of Multi-node Moment Matching (MMM) is introduced in this paper. The MMM technique simultaneously matches the moments at several nodes of a circuit using explicit...
Yehea I. Ismail
111
Voted
ITNG
2008
IEEE
15 years 10 months ago
GlycoVault: A Bioinformatics Infrastructure for Glycan Pathway Visualization, Analysis and Modeling
Glycan biosynthesis is the process by which glycans are built in the cells. Information about the process is available from several Web accessible databases, published papers, exp...
Shravya Nimmagadda, Amrita Basu, Matthew Eavenson,...
143
Voted
APSEC
2005
IEEE
15 years 9 months ago
Model-Driven Semantic Web Service Composition
As the number of available Web services increases there is a growing demand to realise complex business processes by combining and reusing available Web services. The reuse and co...
Roy Grønmo, Michael C. Jaeger
121
Voted
DAGSTUHL
2010
15 years 5 months ago
Model-Based Visualization for Intervention Planning
Computer support for intervention planning is a two-stage process: In a first stage, the relevant segmentation target structures are identified and delineated. In a second stage, ...
Bernhard Preim