Direct vs. Cross-Validated Stacking in Ensemble Learning: Evaluating the Trade-Off between Inference Time and Generalizability on Fashion-MNIST.
Raad Bin TareafAlex Maximilian KorgaSebastian WefersKeno HankenPublished in: ICMLC (2024)
Keyphrases
- ensemble learning
- cross validated
- cross validation
- generalization ability
- ensemble methods
- random forest
- fold cross validation
- log likelihood
- base classifiers
- concept drift
- model selection
- bayesian inference
- support vector
- feature selection
- machine learning
- bayesian networks
- decision trees
- machine learning algorithms
- markov random field
- multi class
- high dimensional
- reinforcement learning
- genetic algorithm