2 papers
cs.LG2021
Use of Metamorphic Relations as Knowledge Carriers to Train Deep Neural Networks
Tsong Yueh Chen, Pak-Lok Poon, Kun Qiu +2
Training multiple-layered deep neural networks (DNNs) is difficult. The standard practice of using a large number of samples for training often does not improve the performance of…
cs.SE2018
METTLE: a METamorphic testing approach to assessing and validating unsupervised machine LEarning systems
Xiaoyuan Xie, Zhiyi Zhang, Tsong Yueh Chen +3
Unsupervised machine learning is the training of an artificial intelligence system using information that is neither classified nor labeled, with a view to modeling the underlying…