Weighted Sampling, Maximum Likelihood and Minimum Divergence Estimators.
Michel BroniatowskiPublished in: GSI (2013)
Keyphrases
- maximum likelihood
- maximum likelihood estimator
- maximum a posteriori
- em algorithm
- random sampling
- parameter estimation
- likelihood function
- sampled data
- expectation maximization
- sampling algorithm
- hyperparameters
- additive noise
- unbiased estimator
- sampling strategy
- minimum cost
- gaussian distribution
- weighted sum
- log likelihood
- sampling methods
- sample size
- random projections
- kl divergence
- gaussian mixture model
- kernel density estimator
- np hard