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110
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GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 5 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
ADC
2000
Springer
326views Database» more  ADC 2000»
15 years 5 months ago
T-Tree or B-Tree: Main Memory Database Index Structure Revisited
While the B-tree (or the B+ -tree) is the most popular index structure in disk-based relational database systems, the Ttree has been widely accepted as a promising index structure...
Hongjun Lu, Yuet Yeung Ng, Zengping Tian
INFOVIS
1999
IEEE
15 years 5 months ago
Navigating Hierarchies with Structure-Based Brushes
Interactive selection is a critical component in exploratory visualization, allowing users to isolate subsets of the displayed information for highlighting, deleting, analysis, or...
Ying-Huey Fua, Matthew O. Ward, Elke A. Rundenstei...
109
Voted
CSDA
2007
79views more  CSDA 2007»
15 years 19 days ago
Modelling series of studies with a common structure
Consider the situation where the Structuration des Tableaux à Trois Indices de la Statistique (STATIS) methodology is applied to a series of studies, each study being represented...
Manuela M. Oliveira, João Mexia
CVPR
2008
IEEE
16 years 2 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...