Low-Dimensional Flow Models from High-Dimensional Flow Data with Machine Learning and First Principles.
Nan DengLuc PasturBernd R. NoackPublished in: ERCIM News (2020)
Keyphrases
- high dimensional
- low dimensional
- high dimensional data
- data points
- machine learning
- data collection
- input space
- data analysis
- data sets
- learning models
- knowledge discovery
- dimensionality reduction
- dimensional data
- data sources
- statistical methods
- accurate models
- experimental data
- database
- historical data
- sparse data
- training data
- data structure
- statistical analysis
- high dimensions
- discrete data
- optical flow
- high dimensional data space
- flow field
- learning algorithm
- noisy data
- original data
- machine learning algorithms
- feature selection
- input data
- multi dimensional
- nearest neighbor
- information extraction
- prior knowledge
- probabilistic model