Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors.
Narayanan Unny EdakunniSethu VijayakumarPublished in: MCS (2009)
Keyphrases
- regression problems
- automatic relevance determination
- classification accuracy
- training set
- final classification
- online learning
- logistic regression
- feature extraction
- pattern recognition
- prior probabilities
- classification method
- multiple classifiers
- ensemble learning
- training data
- decision trees
- feature selection
- ensemble classifier
- machine learning
- random forest
- majority voting
- machine learning methods
- model selection
- ensemble classification
- neural network
- support vector machine
- feature space
- weak learners
- kernel svms
- classifier ensemble
- base learners
- bayesian learning
- random forests
- classification models
- classification algorithm
- text categorization
- training samples
- maximum likelihood
- image classification
- supervised learning