Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges.
Christoph MolnarGiuseppe CasalicchioBernd BischlPublished in: PKDD/ECML Workshops (2020)
Keyphrases
- machine learning
- lessons learned
- knowledge acquisition
- machine learning methods
- machine learning algorithms
- real world
- machine learning and data mining
- learning algorithm
- evolutionary algorithm
- active learning
- text mining
- natural language processing
- inductive learning
- computational biology
- supervised learning
- open issues
- pattern recognition
- data sets
- feature selection
- computer vision
- artificial intelligence
- explanation based learning
- machine learning approaches
- supervised machine learning
- learning tasks
- learning systems
- genetic programming
- computational intelligence
- information extraction
- reinforcement learning