A sliding window based meta-majority of voting ensemble for credit risk assessment.
Lopamudra PradhanGi-Nam WangSatchidananda DehuriPublished in: ICACCI (2013)
Keyphrases
- voting schemes
- weighted voting
- majority voting
- ensemble learning
- voting method
- meta level
- ensemble methods
- classifier ensemble
- random forest
- base classifiers
- random forests
- sliding window
- bp neural network
- ensemble classifier
- dynamic programming
- regression problems
- ensemble pruning
- decision trees
- voting scheme
- neural network
- preference aggregation
- final classification
- stereo matching
- prediction accuracy
- training set
- machine learning