An AdaBoost for Efficient Use of Confidences of Weak Hypotheses on Text Categorization.
Tomoya IwakuraTakahiro SaitouSeishi OkamotoPublished in: PRICAI (2014)
Keyphrases
- text categorization
- feature selection
- text classification
- k nearest neighbor
- knn
- multi label
- weak hypotheses
- learning algorithm
- semi supervised learning
- information gain
- support vector
- weak learners
- object detection
- bayesian networks
- naive bayes
- boosting algorithms
- decision trees
- ensemble methods
- face detection
- multi class
- object recognition