Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning.
Tyler ChangAndrew GilletteRomit MaulikPublished in: CoRR (2024)
Keyphrases
- error bounds
- machine learning
- machine learning approaches
- machine learning methods
- data mining
- artificial intelligence
- active learning
- information extraction
- machine learning algorithms
- machine learning models
- computational models
- statistical methods
- knowledge acquisition
- natural language processing
- prior knowledge
- data analysis
- pattern recognition
- theoretical analysis
- transfer learning
- supervised learning
- reinforcement learning
- decision trees