Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics.
Zhantao ChenCheng PengAlexander N. PetschSathya R. ChitturiAlana OkulloSugata ChowdhuryChun Hong YoonJoshua J. TurnerPublished in: CoRR (2023)
Keyphrases
- virtual learning environments
- learning materials
- experimental design
- parameter estimation
- machine learning
- learning systems
- model selection
- maximum likelihood
- least squares
- markov random field
- em algorithm
- parameter estimation algorithm
- learning objects
- expectation maximization
- computer vision
- active learning
- learning algorithm
- decision trees
- data mining
- experimental designs
- text classification
- learning tasks
- data sets
- supervised learning
- semi supervised learning
- dynamic model
- learning strategies
- sample size
- learning environment
- video sequences
- empirical studies
- higher order