Bio-molecular cancer prediction with random subspace ensembles of support vector machines.
Alberto BertoniRaffaella FolgieriGiorgio ValentiniPublished in: Neurocomputing (2005)
Keyphrases
- random subspace
- learning machines
- ensemble methods
- ensemble learning
- support vector
- prediction accuracy
- random forest
- classifier fusion
- random subspaces
- random sampling
- subspace methods
- generalization ability
- nearest neighbor classifiers
- majority voting
- ensemble classifier
- linear discriminant analysis
- binary classification
- feature subspace
- cross validation
- support vector machine
- base learners
- base classifiers
- svm classifier
- classifier ensemble
- feature selection
- decision trees
- random forests
- comparative analysis
- face recognition
- logistic regression
- loss function
- feature ranking
- classification accuracy
- machine learning methods
- machine learning
- principal component analysis
- semi supervised
- feature space
- kernel methods
- feature subset