1420 search results - page 18 / 284 » Cluster Ensemble Selection |
114
Voted
NN
2008
Springer
14 years 12 months ago
2008
Springer
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
ECAI
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
124
Voted
TCBB
2011
14 years 7 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
94
Voted
AUSAI
2005
Springer
15 years 6 months ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
BMCBI
2010
15 years 17 days ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...