Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy.
Ayana GhoshBobby G. SumpterOndrej DyckSergei V. KalininMaxim A. ZiatdinovPublished in: CoRR (2021)
Keyphrases
- ensemble learning
- learning machines
- machine learning
- generalization ability
- ensemble methods
- supervised learning
- feature selection
- random forest
- support vector machine
- learning algorithm
- machine learning methods
- mutual subspace method
- unlabeled data
- support vector
- support vector machine svm
- data sets
- base classifiers
- training set
- pattern recognition
- ensemble classifier
- test set
- machine learning algorithms
- text classification
- model selection
- data mining
- training samples
- prediction accuracy
- text mining
- remote sensing
- natural language processing
- learning tasks
- nearest neighbor
- information extraction
- artificial neural networks
- training data
- concept drift
- decision trees
- genetic algorithm
- neural network