METTLE: A METamorphic Testing Approach to Assessing and Validating Unsupervised Machine Learning Systems.
Xiaoyuan XieZhiyi ZhangTsong Yueh ChenYang LiuPak-Lok PoonBaowen XuPublished in: IEEE Trans. Reliab. (2020)
Keyphrases
- learning problems
- machine learning systems
- machine learning algorithms
- machine learning
- supervised learning
- supervised learning algorithms
- learning algorithm
- unsupervised learning
- machine learning methods
- reinforcement learning
- semi supervised
- random forests
- model selection
- training data
- learning systems
- pairwise
- learning process
- evolutionary algorithm
- fuzzy sets
- data sets