Learning High-Dimensional Hilbert-Valued Functions With Deep Neural Networks From Limited Data.
Ben AdcockSimone BrugiapagliaNick C. DexterSebastian MoragaPublished in: AAAI Spring Symposium: MLPS (2021)
Keyphrases
- neural network
- high dimensional
- prior knowledge
- data sets
- data structure
- data processing
- data collection
- learning process
- data analysis
- noisy data
- learning models
- background knowledge
- data points
- data quality
- high dimensional data
- database
- knowledge acquisition
- original data
- synthetic data
- unsupervised learning
- sparse data
- nearest neighbor
- image data
- data sources
- decision trees
- learning algorithm
- fuzzy logic
- knowledge discovery
- learning systems
- active learning
- query processing
- pattern recognition
- neural nets
- genetic algorithm