Principles of Explanatory Debugging to Personalize Interactive Machine Learning.
Todd KuleszaMargaret M. BurnettWeng-Keen WongSimone StumpfPublished in: IUI (2015)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- data mining
- decision trees
- user interaction
- artificial intelligence
- pattern recognition
- data analysis
- user preferences
- machine learning approaches
- statistical methods
- learning tasks
- computer vision
- theoretical framework
- computer graphics
- learning systems
- model based diagnosis
- natural language processing
- support vector machine
- knowledge representation
- active learning
- natural language
- reinforcement learning
- learning problems
- explanation based learning
- user friendly
- semi supervised learning
- knowledge acquisition
- text classification
- computational intelligence
- text mining
- image processing