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» Bayesian Networks as Ensemble of Classifiers
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NPL
2008
100views more  NPL 2008»
13 years 8 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot
ICANN
2007
Springer
14 years 2 months ago
Boosting Unsupervised Competitive Learning Ensembles
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
Emilio Corchado, Bruno Baruque, Hujun Yin
ICPR
2004
IEEE
14 years 9 months ago
Rapid Spline-based Kernel Density Estimation for Bayesian Networks
The likelihood for patterns of continuous attributes for the naive Bayesian classifier (NBC) may be approximated by kernel density estimation (KDE), letting every pattern influenc...
Boaz Lerner, Yaniv Gurwicz
IJCNN
2007
IEEE
14 years 2 months ago
Distance-based Disagreement Classifiers Combination
— We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the diversity concept. The goal is to define an alternative approach to the convention...
Cinthia Obladen de Almendra Freitas, João M...
ARTMED
2004
133views more  ARTMED 2004»
13 years 8 months ago
Bayesian network multi-classifiers for protein secondary structure prediction
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
Víctor Robles, Pedro Larrañaga, Jos&...