An efficient parallel implementation for training supervised optimum-path forest classifiers.
Aldo CulquicondorAlexandro BaldassinCésar Castelo-FernándezJoão P. L. de CarvalhoJoão Paulo PapaPublished in: Neurocomputing (2020)
Keyphrases
- optimum path forest
- parallel implementation
- supervised pattern recognition
- decision boundary
- supervised learning
- training set
- training samples
- nearest neighbor classifier
- strongly connected
- learning algorithm
- semi supervised
- parallel computers
- training examples
- test set
- decision trees
- bayesian classifier
- parallel implementations
- pattern recognition
- directed graph
- training process
- active learning
- brain tissue
- support vector
- machine learning
- feature selection
- hyperplane
- pattern classification
- naive bayes
- support vector machine
- unsupervised learning