A reduced variance unsupervised ensemble learning algorithm based on modern portfolio theory.
Ramazan ÜnlüPetros XanthopoulosPublished in: Expert Syst. Appl. (2021)
Keyphrases
- learning algorithm
- supervised learning
- training data
- unsupervised learning
- bias variance decomposition
- machine learning
- machine learning algorithms
- generalization ability
- active learning
- reinforcement learning
- neural network
- learning process
- random forests
- learning rate
- ensemble learning
- learning problems
- learning tasks
- data driven
- training set
- semi supervised
- training samples
- generalization error
- back propagation
- training examples
- supervised classification
- unsupervised manner
- feature selection
- ensemble methods
- random forest
- decision trees
- rbf network
- learning scheme
- competitive learning
- low variance