An ensemble approach of dual base learners for multi-class classification problems.
M. Paz Sesmero LorenteJuan Manuel Alonso-WeberGermán GutiérrezAgapito LedezmaAraceli SanchisPublished in: Inf. Fusion (2015)
Keyphrases
- base learners
- base classifiers
- ensemble methods
- ensemble learning
- learning scheme
- multi class
- random forests
- error correcting output codes
- decision trees
- meta learning
- cost sensitive
- loss function
- regression problems
- binary classification
- learning algorithm
- training data
- generalization ability
- binary classifiers
- learning tasks
- cross validation
- naive bayes
- classification algorithm
- training process
- class labels
- feature set
- training set
- genetic programming
- data sets
- reinforcement learning
- high dimensional
- support vector machine
- learning problems
- test data
- multi label