Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits.
Konstantinos BalaskasGeorgios ZervakisKostas SioziosMehdi B. TahooriJörg HenkelPublished in: ISQED (2022)
Keyphrases
- decision trees
- machine learning
- machine learning algorithms
- machine learning methods
- pattern recognition
- predictive accuracy
- feature construction
- supervised machine learning
- decision rules
- support vector machine
- supervised learning
- training data
- classification rules
- feature selection
- training set
- decision tree induction
- text classification
- decision tree algorithm
- decision tree construction
- classification accuracy
- learning algorithm
- decision tree induction algorithm
- decision tree algorithms
- induction algorithms
- decision tree learning algorithm
- rule induction
- supervised classification
- ensemble methods
- classification algorithm
- support vector
- classification method
- data mining
- active learning
- pattern classification
- unsupervised learning
- model selection
- support vector machine svm
- multivariate decision trees
- feature vectors
- text mining
- image classification
- naive bayes
- classification trees
- classification models
- rule sets
- inductive learning