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ISM
2008
IEEE
159views Multimedia» more  ISM 2008»
15 years 4 months ago
Adaptive Modeling of a User's Daily Life with a Wearable Sensor Network
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...
JCB
2008
96views more  JCB 2008»
15 years 4 months ago
Computing Knock-Out Strategies in Metabolic Networks
Given a metabolic network in terms of its metabolites and reactions, our goal is to efficiently compute the minimal knock out sets of reactions required to block a given behaviour....
Utz-Uwe Haus, Steffen Klamt, Tamon Stephen
ALIFE
2005
15 years 4 months ago
A Gene Network Model for Developing Cell Lineages
Biological development is a remarkably complex process. A single cell, in an appropriate environment, contains sufficient information to generate a variety of differentiated cell ...
Nicholas Geard, Janet Wiles
IJON
2000
76views more  IJON 2000»
15 years 4 months ago
Fast neural network simulations with population density methods
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
Duane Q. Nykamp, Daniel Tranchina
155
Voted
IJPRAI
2000
83views more  IJPRAI 2000»
15 years 4 months ago
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...