Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study.
Pei-Hung LinChunhua LiaoWinson ChenTristan VanderbruggenMurali EmaniHailu XuPublished in: CoRR (2022)
Keyphrases
- prior knowledge
- machine learning
- case study
- pattern recognition
- machine learning approaches
- machine learning methods
- data mining
- scientific computing
- experimental data
- software development
- knowledge acquisition
- model selection
- business process
- probabilistic model
- statistical methods
- inductive learning
- learning models
- active learning
- real world