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150
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BMCBI
2010
229views more  BMCBI 2010»
15 years 3 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
117
Voted
ICCAD
2003
IEEE
140views Hardware» more  ICCAD 2003»
16 years 12 days ago
Block-based Static Timing Analysis with Uncertainty
Static timing analysis is a critical step in design of any digital integrated circuit. Technology and design trends have led to significant increase in environmental and process v...
Anirudh Devgan, Chandramouli V. Kashyap
ASPDAC
2008
ACM
169views Hardware» more  ASPDAC 2008»
15 years 5 months ago
Analytical model for the impact of multiple input switching noise on timing
The timing models used in current Static Timing Analysis tools use gate delays only for single input switching events. It is well known that the temporal proximity of signals arriv...
Rajeshwary Tayade, Sani R. Nassif, Jacob A. Abraha...
119
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Modeling anatomical heterogeneity in populations
Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Base...
Polina Golland, Mert R. Sabuncu
151
Voted
BMCBI
2010
165views more  BMCBI 2010»
15 years 3 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...