Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study.
Ronny MeirPublished in: Neural Comput. (1995)
Keyphrases
- maximum likelihood estimation
- empirical risk minimization
- maximum likelihood
- em algorithm
- statistical learning theory
- uniform convergence
- expectation maximization
- parameter estimation
- vc dimension
- rates of convergence
- empirical risk
- probability distribution
- generalization bounds
- mixture model
- phase transition
- learning algorithm
- upper bound
- support vector
- image processing
- density function
- sufficient conditions
- least squares
- pairwise
- training set