DROP: an SVM domain linker predictor trained with optimal features selected by random forest.
Teppei EbinaHiroyuki TohYutaka KurodaPublished in: Bioinform. (2011)
Keyphrases
- random forest
- selected features
- feature set
- svm classifier
- feature subset
- feature selection
- random forests
- decision trees
- fold cross validation
- sequential forward selection
- feature vectors
- feature reduction
- feature importance
- support vector machine
- feature space
- ensemble classifier
- support vector
- support vector machine svm
- classification accuracy
- classification method
- feature ranking
- feature extraction
- decision tree learning algorithms
- ensemble methods
- neural network
- multi label
- naive bayes
- image classification
- multi class
- kernel function
- ensemble learning
- text classification
- feature selection algorithms
- markov random field
- prior knowledge
- artificial neural networks
- training set
- face recognition
- machine learning