Cyclic Boosting - an explainable supervised machine learning algorithm.
Felix WickUlrich KerzelMichael FeindtPublished in: CoRR (2020)
Keyphrases
- learning algorithm
- supervised learning
- learning problems
- machine learning
- machine learning algorithms
- active learning
- training data
- learning rate
- learning machines
- training examples
- generalization ability
- training samples
- reinforcement learning
- learning scheme
- learning process
- ensemble learning
- feature selection
- back propagation
- weak learners
- learning tasks
- generalization error
- unlabeled data
- uniform distribution
- unsupervised learning
- sample complexity
- artificial neural networks
- boosting algorithms
- feature space
- batch processing
- decision stumps