A proposed approach to the classification of bearing condition using wavelets and random forests.
Goran FerencMaja M. LutovacVladimir KvrgicPavle StepanicPublished in: MECO (2013)
Keyphrases
- random forests
- decision trees
- tree ensembles
- machine learning algorithms
- regression forests
- random forest
- feature extraction
- randomized trees
- classification accuracy
- ensemble methods
- logistic regression
- support vector
- regression problems
- feature space
- classification and regression trees
- accurate classifiers
- machine learning methods
- machine learning
- text classification
- support vector machine svm
- classification algorithm
- pattern recognition
- image classification
- training set
- training data
- image processing
- head pose estimation
- k nearest neighbour
- svm classifier
- supervised learning
- semi supervised
- feature vectors