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» Model-based clustering for longitudinal data
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372views
14 years 6 months ago
Multi-Objects Interpretation
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
Jean-Philippe Tarel
ISBRA
2007
Springer
13 years 11 months ago
Coclustering Based Parcellation of Human Brain Cortex Using Diffusion Tensor MRI
The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. Investigations of the physical connect...
Cui Lin, Shiyong Lu, Danqing Wu, Jing Hua, Otto Mu...
ISMIS
2009
Springer
13 years 12 months ago
Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining
Workflow mining aims to find graph-based process models based on activities, emails, and various event logs recorded in computer systems. Current workflow mining techniques mainly ...
Liqiang Geng, Scott Buffett, Bruce Hamilton, Xin W...
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
13 years 6 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
BMCBI
2007
203views more  BMCBI 2007»
13 years 5 months ago
A Grid-based solution for management and analysis of microarrays in distributed experiments
Several systems have been presented in the last years in order to manage the complexity of large microarray experiments. Although good results have been achieved, most systems ten...
Ivan Porro, Livia Torterolo, Luca Corradi, Marco F...