What augmentations are sensitive to hyper-parameters and why?
Ch Muhammad AwaisImad Eddine Ibrahim BekkouchPublished in: CoRR (2021)
Keyphrases
- hyperparameters
- model selection
- cross validation
- closed form
- bayesian framework
- bayesian inference
- support vector
- random sampling
- em algorithm
- maximum a posteriori
- maximum likelihood
- prior information
- posterior distribution
- gaussian process
- noise level
- sample size
- variational bayes
- incremental learning
- incomplete data
- bayesian methods
- parameter settings
- missing values
- expectation maximization
- parameter estimation
- prior knowledge
- machine learning
- missing data
- parameter space
- error rate
- noise reduction
- higher order
- multiscale
- data mining
- data sets