179 search results - page 2 / 36 » Bayesian Networks as Ensemble of Classifiers |
MCS
2000
Springer
13 years 8 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
AAAI
2004
13 years 6 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
ESANN
2006
13 years 6 months ago
2006
Abstract. Ensemble methods allow to improve the accuracy of classification methods. This work considers the application of one of these methods, named Rotation-based, when the clas...
BMCBI
2006
13 years 4 months ago
2006
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
MCS
2005
Springer
13 years 10 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...