Instance Based Approximations to Profile Maximum Likelihood.
Nima AnariMoses CharikarKirankumar ShiragurAaron SidfordPublished in: CoRR (2020)
Keyphrases
- maximum likelihood
- penalized likelihood
- parameter estimation
- likelihood function
- em algorithm
- instance based learning
- knn
- expectation maximization
- additive noise
- user profiles
- maximum likelihood estimation
- maximum a posteriori
- gaussian distribution
- gaussian mixture model
- approximation methods
- parameter learning
- computer vision
- neural network
- closed form
- hyperparameters
- numerical methods
- efficient computation
- rough sets
- case study
- information systems
- computationally tractable