Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces.
Baoxun XuJoshua Zhexue HuangGraham J. WilliamsQiang WangYunming YePublished in: Int. J. Data Warehous. Min. (2012)
Keyphrases
- random forests
- random forest
- decision trees
- machine learning algorithms
- ensemble methods
- tree ensembles
- logistic regression
- decision tree ensembles
- randomized trees
- small number
- regression forests
- high dimensional data
- principal component analysis
- machine learning methods
- support vector
- feature extraction
- head pose estimation
- image processing
- learning algorithm