Evaluating Explanation Without Ground Truth in Interpretable Machine Learning.
Fan YangMengnan DuXia HuPublished in: CoRR (2019)
Keyphrases
- ground truth
- machine learning
- explanation based learning
- machine learning methods
- pattern recognition
- learning algorithm
- high quality
- quantitative evaluation
- machine learning algorithms
- ground truth data
- learning problems
- computational biology
- knowledge acquisition
- data analysis
- domain theory
- machine learning and data mining
- data mining
- gold standard
- manually labeled
- learning tasks
- supervised machine learning
- neural network
- active learning
- evolutionary algorithm
- semi supervised learning
- reinforcement learning
- computer science
- database
- real world
- computer vision
- feature selection
- image segmentation
- machine learning approaches
- feature space
- statistical learning
- inductive learning
- inductive logic programming
- classification rules
- natural language processing