Automatic Grain Type Classification of Snow Micro Penetrometer Signals With Random Forests.
Scott HavensHans-Peter MarshallChristine PielmeierKelly ElderPublished in: IEEE Trans. Geosci. Remote. Sens. (2013)
Keyphrases
- random forests
- decision trees
- tree ensembles
- machine learning algorithms
- regression forests
- random forest
- accurate classifiers
- ensemble methods
- randomized trees
- logistic regression
- classification and regression trees
- classification accuracy
- benchmark datasets
- machine learning
- regression problems
- machine learning methods
- text classification
- feature extraction
- image classification
- support vector machine
- decision tree ensembles
- support vector
- feature vectors
- support vector machine svm
- pattern recognition
- regression trees
- classification trees
- base learners
- eeg signals
- neural network
- genetic algorithm
- training set
- semi supervised
- svm classifier
- class labels
- k nearest neighbor
- prediction accuracy