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CLADE
2008
IEEE
14 years 1 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
IJCNN
2006
IEEE
14 years 27 days ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
13 years 11 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
SP
2010
IEEE
327views Security Privacy» more  SP 2010»
13 years 10 months ago
Side-Channel Leaks in Web Applications: A Reality Today, a Challenge Tomorrow
– With software-as-a-service becoming mainstream, more and more applications are delivered to the client through the Web. Unlike a desktop application, a web application is split...
Shuo Chen, Rui Wang, XiaoFeng Wang, Kehuan Zhang
ASIAN
2004
Springer
153views Algorithms» more  ASIAN 2004»
13 years 10 months ago
Chi-Square Matrix: An Approach for Building-Block Identification
This paper presents a line of research in genetic algorithms (GAs), called building-block identification. The building blocks (BBs) are common structures inferred from a set of sol...
Chatchawit Aporntewan, Prabhas Chongstitvatana