Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model.
Tomohiro NabikaKenji NagataShun KatakamiMasaichiro MizumakiMasato OkadaPublished in: CoRR (2023)
Keyphrases
- experimental design
- parametric models
- active learning
- uncertainty sampling
- empirical studies
- experimental designs
- class imbalance
- learning algorithm
- learning strategies
- sample size
- flow field
- random sampling
- learning process
- machine learning
- semi supervised
- feature selection
- supervised learning
- labeled data
- unlabeled data
- training examples
- motion field
- cost sensitive
- training set
- computer vision