Rademacher Complexities and Bounding the Excess Risk in Active Learning.
Vladimir KoltchinskiiPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- active learning
- risk bounds
- generalization error
- statistical learning theory
- data dependent
- learning algorithm
- upper bound
- expected loss
- learning strategies
- empirical risk minimization
- machine learning
- supervised learning
- vc dimension
- random sampling
- empirical risk
- sample complexity
- training set
- training examples
- decision making
- risk management
- selective sampling
- linear classifiers
- active learning strategies
- pool based active learning
- learning process
- crowd sourced
- covering numbers
- uniform convergence
- risk assessment
- generalization bounds
- high risk
- risk factors
- statistical learning
- transfer learning
- cross validation
- semi supervised learning
- labeled data
- special case
- imbalanced data classification