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» Mining Several Data Bases with an Ensemble of Classifiers
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CIARP
2008
Springer
13 years 9 months ago
On the Complementarity of Face Parts for Gender Recognition
This paper evaluates the expected complementarity between the most prominent parts of the face for the gender recognition task. Given the image of a face, five important parts (rig...
Yasmina Andreu, Ramón Alberto Mollineda
ICSM
2008
IEEE
14 years 2 months ago
Automated severity assessment of software defect reports
In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testi...
Tim Menzies, Andrian Marcus
IJON
2010
148views more  IJON 2010»
13 years 5 months ago
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
Matteo Re, Giorgio Valentini
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
13 years 9 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
13 years 5 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...