Learning a complex metabolomic dataset using random forests and support vector machines.
Young TruongXiaodong LinChris BeecherPublished in: KDD (2004)
Keyphrases
- random forests
- support vector
- learning machines
- learning process
- learning algorithm
- logistic regression
- random forest
- supervised learning
- large margin classifiers
- reinforcement learning
- prior knowledge
- learning tasks
- multi class
- support vector machine
- benchmark datasets
- ensemble methods
- training data
- decision trees
- genetic algorithm