Random ensemble oblique decision stumps for classifying gene expression data.
Phuoc-Hai HuynhVan Hoa NguyenThanh-Nghi DoPublished in: SoICT (2018)
Keyphrases
- gene expression data
- decision stumps
- ensemble learning
- ensemble classifier
- microarray
- gene expression
- feature selection
- base classifiers
- base learners
- weak classifiers
- high dimensionality
- ensemble methods
- data sets
- decision forest
- selection algorithm
- imbalanced data
- gene selection
- decision trees
- high dimensional data
- learning algorithm
- logistic regression
- random forests
- kernel machines
- gene expression profiles
- high dimensional
- training data
- neural network
- training set
- bayesian networks
- computer vision
- random forest
- machine learning methods
- benchmark datasets
- low dimensional
- support vector machine
- classification accuracy