Maximizing the Diversity of Ensemble Random Forests for Tree Genera Classification Using High Density LiDAR Data.
Connie KoGunho SohnTarmo K. RemmelJohn R. MillerPublished in: Remote. Sens. (2016)
Keyphrases
- random forests
- high density
- decision trees
- tree ensembles
- machine learning algorithms
- ensemble methods
- random forest
- lidar data
- randomized trees
- logistic regression
- classifier ensemble
- low density
- machine learning methods
- machine learning
- decision tree ensembles
- benchmark datasets
- feature extraction
- base learners
- training set
- naive bayes
- computer vision
- classification accuracy
- prediction accuracy
- databases
- learning algorithm
- urban areas
- data center
- feature set
- text classification
- high dimensional
- feature vectors
- base classifiers
- feature space
- training data
- svm classifier
- class labels