Quantifying (Hyper) Parameter Leakage in Machine Learning.
Vasisht DudduD. Vijay RaoPublished in: CoRR (2019)
Keyphrases
- machine learning
- hyperparameters
- model selection
- cross validation
- parameter settings
- bayesian inference
- closed form
- feature selection
- support vector
- bayesian framework
- computer vision
- decision trees
- sample size
- active learning
- maximum likelihood
- data mining
- learning algorithm
- prior information
- em algorithm
- supervised learning
- support vector machine
- high resolution
- incremental learning
- high dimensional
- data analysis
- incomplete data
- random sampling
- image processing