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» Estimating dynamic models for gene regulation networks
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ICANN
2007
Springer
14 years 1 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
HYBRID
2007
Springer
14 years 1 months ago
Model Checking Genetic Regulatory Networks with Parameter Uncertainty
The lack of precise numerical information for the values of biological parameters severely limits the development and analysis of models of genetic regulatory networks. To deal wit...
Grégory Batt, Calin Belta, Ron Weiss
VLSID
2002
IEEE
127views VLSI» more  VLSID 2002»
14 years 8 months ago
Switching Activity Estimation of Large Circuits using Multiple Bayesian Networks
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
Sanjukta Bhanja, N. Ranganathan
ILP
2005
Springer
14 years 1 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 8 months ago
Inverse modeling for open boundary conditions in channel network
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...