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JCB
2006
185views more  JCB 2006»
13 years 8 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
AAAI
2006
13 years 10 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
ICCAD
2002
IEEE
149views Hardware» more  ICCAD 2002»
14 years 5 months ago
Battery-aware power management based on Markovian decision processes
- This paper addresses the problem of maximizing capacity utilization of the battery power source in a portable electronic system under latency and loss rate constraints. First, a ...
Peng Rong, Massoud Pedram
SPAA
2005
ACM
14 years 2 months ago
Dynamic page migration with stochastic requests
The page migration problem is one of subproblems of data management in networks. It occurs in a distributed network of processors sharing one indivisible memory page of size D. Du...
Marcin Bienkowski
FGCS
2008
107views more  FGCS 2008»
13 years 8 months ago
Dynamic security context management in Grid-based applications
This paper summarises ongoing research and recent results on the development of flexible access control infrastructure for complex resource provisioning in Grid-based collaborativ...
Yuri Demchenko, Olle Mulmo, Leon Gommans, Cees de ...