Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges.
Christoph MolnarGiuseppe CasalicchioBernd BischlPublished in: CoRR (2020)
Keyphrases
- machine learning
- lessons learned
- key issues
- machine learning methods
- machine learning algorithms
- information extraction
- support vector machine
- pattern recognition
- real world
- unsupervised learning
- text mining
- learning systems
- supervised machine learning
- application scenarios
- technical challenges
- neural network
- inductive learning
- learning problems
- classification rules
- computer vision
- natural language processing
- computer science
- decision trees
- knowledge acquisition
- multi agent
- search engine
- case study
- data mining
- multiscale
- reinforcement learning
- knowledge representation
- data analysis
- open issues