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» Reactive rules inference from dynamic dependency models
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152
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VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
16 years 4 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...
119
Voted
NIPS
2004
15 years 5 months ago
Rate- and Phase-coded Autoassociative Memory
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
Máté Lengyel, Peter Dayan
128
Voted
BMCBI
2005
127views more  BMCBI 2005»
15 years 3 months ago
Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification
Background: Gene expression programs depend on recognition of cis elements in promoter region of target genes by transcription factors (TFs), but how TFs regulate gene expression ...
Li-Hsieh Lin, Hsiao-Ching Lee, Wen-Hsiung Li, Bor-...
145
Voted
SEMWEB
2010
Springer
15 years 1 months ago
Fusion - Visually Exploring and Eliciting Relationships in Linked Data
Building applications over Linked Data often requires a mapping between the application model and the ontology underlying the source dataset in the Linked Data cloud. This mapping ...
Samur Araújo, Geert-Jan Houben, Daniel Schw...
139
Voted
BMCBI
2007
172views more  BMCBI 2007»
15 years 3 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...