On the Uniform Convergence of Consistent Confidence Measures.
Yihan GaoAditya G. ParameswaranPublished in: CoRR (2015)
Keyphrases
- uniform convergence
- confidence measures
- ground truth
- stereo vision
- confidence measure
- sufficient conditions
- learning rate
- risk minimization
- optical flow
- real valued
- reproducing kernel hilbert space
- generalization error
- statistical learning theory
- generalization bounds
- vc dimension
- reinforcement learning
- kernel methods
- training data
- upper and lower bounds
- statistical learning
- learning problems
- model selection
- large deviations
- high dimensional
- moving objects