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» A Discourse on Complexity of Process Models
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JMLR
2010
202views more  JMLR 2010»
15 years 1 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...
ICCAD
2002
IEEE
175views Hardware» more  ICCAD 2002»
16 years 3 months 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
ITNG
2008
IEEE
16 years 27 days 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,...
APSEC
2005
IEEE
16 years 4 days 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
DAGSTUHL
2010
15 years 8 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