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» Modeling Dependable Systems using Hybrid Bayesian Networks
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CLADE
2008
IEEE
14 years 3 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
APIN
2004
97views more  APIN 2004»
13 years 8 months ago
FSfRT: Forecasting System for Red Tides
A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in ...
Florentino Fdez-Riverola, Juan M. Corchado
ICANN
2005
Springer
14 years 2 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
CMPB
2010
171views more  CMPB 2010»
13 years 3 months ago
Metabolica: A statistical research tool for analyzing metabolic networks
Steady state flux balance analysis (FBA) for cellular metabolism is used, e.g., to seek information on the activity of the different pathways under equilibrium conditions, or as a...
Jenni Heino, Daniela Calvetti, Erkki Somersalo
SIGMOD
2006
ACM
123views Database» more  SIGMOD 2006»
14 years 9 months ago
Proactive identification of performance problems
We propose to demonstrate Fa, an automated tool for timely and accurate prediction of Service-Level-Agreement (SLA) violations caused by performance problems in database systems. ...
Songyun Duan, Shivnath Babu