A comprehensive evaluation of ensemble learning for stock-market prediction.
Isaac Kofi NtiAdebayo Felix AdekoyaBenjamin Asubam WeyoriPublished in: J. Big Data (2020)
Keyphrases
- pairwise
- ensemble learning
- comprehensive evaluation
- stock market prediction
- ensemble methods
- generalization ability
- empirical mode decomposition
- random forest
- weak learners
- base classifiers
- ensemble classifier
- support vector machine
- concept drift
- computer vision
- unlabeled data
- pattern recognition
- machine learning
- semi supervised learning
- image analysis
- multiscale
- mutual subspace method