Entropic Variable Boosting for Explainability and Interpretability in Machine Learning.
François BachocFabrice GamboaJean-Michel LoubesLaurent RisserPublished in: CoRR (2018)
Keyphrases
- machine learning
- learning algorithm
- feature selection
- pattern recognition
- machine learning methods
- natural language processing
- data mining
- machine learning algorithms
- ensemble methods
- knowledge acquisition
- ensemble learning
- supervised learning
- computational intelligence
- text mining
- information extraction
- inductive learning
- inductive logic programming
- prediction accuracy
- learning problems
- text classification
- decision trees
- machine learning approaches
- machine learning and data mining
- deep learning
- supervised machine learning
- stochastic approximation
- data sets
- minimal spanning tree
- semi supervised learning
- unsupervised learning
- support vector machine
- knowledge representation
- data analysis
- knowledge base
- computer vision
- artificial intelligence
- neural network