Finite-Sample Risk Bounds for Maximum Likelihood Estimation With Arbitrary Penalties.
W. D. BrindaJason M. KlusowskiPublished in: IEEE Trans. Inf. Theory (2018)
Keyphrases
- maximum likelihood estimation
- statistical learning theory
- maximum likelihood
- em algorithm
- parameter estimation
- uniform convergence
- expectation maximization
- probability distribution
- machine learning
- statistical learning
- support vector machine
- sample size
- data dependent
- learning algorithm
- theoretical framework
- markov random field
- probabilistic model
- image processing