One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency.
Kacper SokolPeter A. FlachPublished in: CoRR (2020)
Keyphrases
- machine learning
- generating explanations
- explanation based learning
- domain theory
- machine learning methods
- computer graphics
- knowledge acquisition
- information extraction
- pattern recognition
- data mining
- machine learning approaches
- active learning
- learning algorithm
- graphical interface
- decision trees
- artificial intelligence
- machine learning algorithms
- user friendly
- social networks
- data sets
- visual representations
- interactive systems
- machine learning and data mining
- inductive learning
- computer science
- computer vision
- user interaction
- support vector machine
- virtual reality
- semi supervised learning
- learning classifier systems
- genetic algorithm
- model selection
- computational intelligence
- supervised learning
- case study