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» Gene networks inference using dynamic Bayesian networks
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MM
2003
ACM
118views Multimedia» more  MM 2003»
15 years 9 months ago
PROMISE: peer-to-peer media streaming using CollectCast
We present the design, implementation, and evaluation of PROMISE, a novel peer-to-peer media streaming system encompassing the key functions of peer lookup, peer-based aggregated ...
Mohamed Hefeeda, Ahsan Habib, Boyan Botev, Dongyan...
EH
2002
IEEE
139views Hardware» more  EH 2002»
15 years 9 months ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee
IJAR
2010
97views more  IJAR 2010»
15 years 3 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
AI
2000
Springer
15 years 4 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
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BMCBI
2008
117views more  BMCBI 2008»
15 years 4 months ago
Using a logical model to predict the growth of yeast
Background: A logical model of the known metabolic processes in S. cerevisiae was constructed from iFF708, an existing Flux Balance Analysis (FBA) model, and augmented with inform...
Ken E. Whelan, Ross D. King