Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study.
Pei-Hung LinChunhua LiaoWinson ChenTristan VanderbruggenMurali EmaniHailu XuPublished in: TransAI (2022)
Keyphrases
- machine learning
- case study
- statistical methods
- model selection
- probabilistic model
- machine learning approaches
- modeling framework
- machine learning algorithms
- machine learning methods
- mathematical models
- process model
- statistical models
- information extraction
- massively parallel
- feature selection
- learning algorithm
- fault tolerance
- text classification
- statistical machine learning
- complex systems
- benchmark datasets
- neural network
- supervised learning
- hidden markov models
- computer science
- natural language
- pattern recognition
- artificial intelligence
- data mining