Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits.
Konstantinos BalaskasGeorgios ZervakisKostas SioziosMehdi B. TahooriJörg HenkelPublished in: CoRR (2022)
Keyphrases
- machine learning approaches
- machine learning
- decision trees
- machine learning algorithms
- machine learning methods
- data mining methods
- pattern recognition
- predictive accuracy
- active learning
- decision tree construction
- learning tasks
- decision rules
- support vector
- semi supervised learning
- classification accuracy
- text classification
- decision tree induction
- support vector machine
- classification models
- multivariate decision trees
- decision tree induction algorithm
- decision tree algorithms
- supervised machine learning
- decision tree algorithm
- feature construction
- rule induction
- feature selection
- random forest
- supervised learning
- learning problems
- high speed
- classification rules
- data sets
- classification method
- unsupervised learning
- naive bayes