An Information-Theoretic Approach to Personalized Explainable Machine Learning.
Alexander JungPedro H. J. NardelliPublished in: IEEE Signal Process. Lett. (2020)
Keyphrases
- machine learning
- e learning
- machine learning methods
- artificial intelligence
- computer vision
- support vector machine
- pattern recognition
- machine learning algorithms
- learning problems
- information extraction
- explanation based learning
- website
- metadata
- information filtering
- adaptive learning
- natural language processing
- computational intelligence
- inductive logic programming
- knowledge acquisition
- learning tasks
- computational biology
- user modeling
- data sets
- supervised machine learning
- learning systems
- user profiles
- semi supervised learning
- model selection
- text classification
- active learning
- case study
- feature selection
- search engine
- learning algorithm
- databases