Multi-scale physics-informed machine learning using the Buckingham Pi theorem.
Michael W. OppenheimerDavid B. DomanJustin D. MerrickPublished in: J. Comput. Phys. (2023)
Keyphrases
- machine learning
- multiscale
- computer science
- artificial intelligence
- natural images
- coarse to fine
- pattern recognition
- machine learning algorithms
- learning algorithm
- reinforcement learning
- scale space
- edge detection
- multiple scales
- kernel methods
- knowledge acquisition
- text classification
- computer vision
- feature selection
- decision trees
- support vector machine
- multiresolution
- image analysis
- inductive learning
- learning problems
- machine learning methods
- learning systems
- supervised machine learning
- von neumann
- machine learning and data mining
- explanation based learning
- computational biology
- power system
- supervised learning
- data analysis
- semi supervised learning
- unsupervised learning
- information extraction
- wavelet transform
- computational intelligence
- text mining
- natural language processing