FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data.
Huaduo WangFarhad ShakerinGopal GuptaPublished in: Theory Pract. Log. Program. (2022)
Keyphrases
- multi category
- mixed data
- learning algorithm
- sparse data
- machine learning
- risk minimization
- support vector machine
- decision trees
- supervised learning
- classification accuracy
- feature vectors
- classification algorithm
- active learning
- reinforcement learning
- support vector machine svm
- generalization ability
- neural network
- data sets
- training set
- support vector
- training data
- feature extraction
- multiple classifiers
- clustering algorithm
- feature selection