Neural Embedding: Learning the Embedding of the Manifold of Physics Data.
Sang Eon ParkPhilip C. HarrisBryan OstdiekPublished in: CoRR (2022)
Keyphrases
- data sets
- prior knowledge
- learning algorithm
- nonlinear dimensionality reduction
- vector space
- high dimensional data
- data collection
- original data
- database
- data analysis
- learning process
- learning models
- learning rules
- supervised learning
- principal component analysis
- background knowledge
- data structure
- training data
- multidimensional scaling
- binary codes
- e learning
- embedding space