Sensitivity Analysis for Deep Learning: Ranking Hyper-parameter Influence.
Rhian TaylorVarun OjhaIvan MartinoGiuseppe NicosiaPublished in: ICTAI (2021)
Keyphrases
- sensitivity analysis
- deep learning
- hyperparameters
- model selection
- managerial insights
- unsupervised learning
- unsupervised feature learning
- machine learning
- closed form
- bayesian framework
- random sampling
- em algorithm
- parameter settings
- prior information
- maximum likelihood
- weakly supervised
- support vector
- maximum a posteriori
- incremental learning
- active learning
- missing values
- bayesian inference
- sample size
- parameter space
- incomplete data
- named entities
- information extraction
- multiscale
- computer vision
- data mining