SPIT callers detection with unsupervised Random Forests classifier.
Kentaroh ToyodaIwao SasasePublished in: ICC (2013)
Keyphrases
- random forests
- decision trees
- accurate classifiers
- random forest
- ensemble methods
- machine learning algorithms
- logistic regression
- feature set
- base learners
- unsupervised learning
- training data
- support vector
- randomized trees
- supervised learning
- supervised training
- object detection
- support vector machine
- tree ensembles
- training set
- feature space
- regression forests
- relational databases
- svm classifier
- classification algorithm
- machine learning
- learning algorithm
- decision tree ensembles
- ensemble learning
- test data
- benchmark datasets
- prediction accuracy
- semi supervised
- pairwise
- feature selection