Naïve Bayes ensemble: A new approach to classifying unlabeled multi-class asthma subjects.
Seo-Jin BangWei WuPublished in: BIBM (2016)
Keyphrases
- bayes classifiers
- multi class
- base classifiers
- training data
- binary classification problems
- ensemble learning
- feature selection
- pairwise
- support vector machine
- training set
- multi class classification
- bayes classifier
- bayesian classifiers
- cost sensitive
- unsupervised learning
- ensemble methods
- multiclass problems
- supervised learning
- unlabeled data
- neural network
- multi class classifier
- multiclass classification
- object detection
- active learning
- classification error
- binary classification
- semi supervised learning
- class probabilities
- error correcting output codes
- data mining
- multi class boosting
- binary classifiers
- labeled data
- k nearest neighbor
- learning algorithm
- multi class problems
- knn
- multiple classes
- multi task
- boosting algorithms
- weak classifiers
- training samples