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BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
15 years 6 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
SIGMETRICS
2008
ACM
101views Hardware» more  SIGMETRICS 2008»
15 years 6 months ago
How to parameterize models with bursty workloads
Although recent advances in theory indicate that burstiness in the service time process can be handled effectively by queueing models (e.g., MAP queueing networks [2]), there is a...
Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, ...
AIEDU
2005
185views more  AIEDU 2005»
15 years 6 months ago
A Bayesian Student Model without Hidden Nodes and its Comparison with Item Response Theory
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
Michel C. Desmarais, Xiaoming Pu
192
Voted
TC
2008
15 years 6 months ago
Accurate, Pre-RTL Temperature-Aware Design Using a Parameterized, Geometric Thermal Model
Abstract-- Preventing silicon chips from negative, even disastrous thermal hazards has become increasingly challenging these days; considering thermal effects early in the design c...
Wei Huang, Karthik Sankaranarayanan, Kevin Skadron...
164
Voted
ICCV
2007
IEEE
16 years 8 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis