Decision forests for machine learning classification of large, noisy seafloor feature sets.
Ed LawsonDenson SmithDonald SofgePaul ElmoreFrederick E. PetryPublished in: Comput. Geosci. (2017)
Keyphrases
- feature set
- machine learning
- feature selection
- classification accuracy
- decision forest
- feature vectors
- classification models
- decision trees
- feature extraction
- class labels
- feature space
- machine learning algorithms
- text classification
- pattern recognition
- support vector machine
- random forest
- extracted features
- feature subset
- machine learning methods
- oblique decision trees
- support vector
- base classifiers
- feature representation
- feature types
- data mining
- image classification
- support vector machine svm
- kernel function
- semi supervised learning
- model selection
- supervised learning
- multi class
- probabilistic model
- multiple features
- noisy environments
- training data