Multi-class Task Classification Using Functional Near-Infrared Spectroscopy.
Danushka BandaraPublished in: HCI (9) (2022)
Keyphrases
- multi class
- multiclass classification
- support vector machine
- multi class classification
- multi class classifier
- binary and multi class
- binary classifiers
- multi class boosting
- multiple classes
- multiclass problems
- cost sensitive
- binary classification problems
- error correcting output codes
- class probabilities
- multi class classifiers
- multi class svms
- feature selection
- pairwise
- multi class svm
- support vector
- probabilistic boosting tree
- single class
- object detection
- support vector machine svm
- binary classification
- decision trees
- text classification
- large margin classifiers
- feature vectors
- protein classification
- classification accuracy
- machine learning methods
- machine learning
- feature space
- feature extraction
- machine learning algorithms
- training samples
- multi task
- classification algorithm
- multi class problems
- improve the classification accuracy
- semi supervised
- model selection
- kernel logistic regression
- naive bayes