Learning the Effect of Registration Hyperparameters with HyperMorph.
Andrew HoopesMalte HoffmannDouglas N. GreveBruce FischlJohn V. GuttagAdrian V. DalcaPublished in: CoRR (2022)
Keyphrases
- hyperparameters
- learning process
- active learning
- incremental learning
- learning tasks
- gaussian processes
- model selection
- learning algorithm
- sample size
- bayesian methods
- regularization parameter
- bayesian inference
- bayesian framework
- cross validation
- supervised learning
- probabilistic model
- prior knowledge
- feature space
- decision trees
- computer vision