A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime.
Constantin GrigoPhaedon-Stelios KoutsourelakisPublished in: CoRR (2019)
Keyphrases
- machine learning
- data analysis
- data processing
- knowledge discovery
- data points
- high dimensional data
- training data
- data sources
- experimental data
- data structure
- high dimensional
- end users
- computer systems
- artificial intelligence
- noisy data
- computer science
- learning systems
- synthetic data
- statistical analysis
- raw data
- data quality
- sparse data
- data sets
- decision trees
- probabilistic model
- prior knowledge
- inductive logic programming
- uncertain data
- storage systems
- background knowledge
- labeled data
- data collection
- low dimensional
- text mining
- natural language processing
- nearest neighbor
- small number
- support vector machine