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» Predicting change impact from logical models
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IJAR
2008
92views more  IJAR 2008»
13 years 7 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...
DSS
2007
75views more  DSS 2007»
13 years 7 months ago
Short Term and Total Life Impact analysis of email worms in computer systems
This paper develops a methodology for analyzing and predicting the impact category of malicious code, particularly email worms. The current paper develops two frameworks to classi...
Insu Park, Raj Sharman, H. Raghav Rao, Shambhu J. ...
BMCBI
2010
174views more  BMCBI 2010»
13 years 7 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
LISA
2008
13 years 9 months ago
Dynamic Dependencies and Performance Improvement
The art of performance tuning is, alas, still an art; there are few tools to help predict the effects of changes that are motivated by performance needs. In this work, we present ...
Marc Chiarini, Alva L. Couch
BMCBI
2008
117views more  BMCBI 2008»
13 years 7 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