Adaptivity to Noise Parameters in Nonparametric Active Learning.
Andrea LocatelliAlexandra CarpentierSamory KpotufePublished in: COLT (2017)
Keyphrases
- active learning
- maximum likelihood
- parameter estimation
- noise level
- learning strategies
- random noise
- parameter settings
- data driven
- signal to noise ratio
- sensitivity analysis
- machine learning
- parametric models
- parameter values
- input data
- noisy data
- training examples
- relevance feedback
- semi supervised
- decision trees
- image noise
- image statistics
- neural network
- bayesian modeling
- label noise
- noise free image