A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime.
Constantin GrigoPhaedon-Stelios KoutsourelakisPublished in: J. Comput. Phys. (2019)
Keyphrases
- machine learning
- high dimensional
- data analysis
- synthetic data
- data sets
- database
- data points
- computer systems
- data collection
- data processing
- small number
- uncertain data
- data sources
- computer science
- probabilistic model
- raw data
- missing data
- high dimensional data
- training data
- data structure
- image data
- high dimensional spaces
- high quality
- sparse data
- statistical methods
- knowledge discovery
- machine learning algorithms
- generative model
- artificial intelligence
- experimental data
- statistical analysis
- prior knowledge
- original data
- noisy data
- databases
- decision trees