Why Machine Learning Cannot Ignore Maximum Likelihood Estimation.
Mark J. van der LaanSherri RosePublished in: CoRR (2021)
Keyphrases
- maximum likelihood estimation
- machine learning
- maximum likelihood
- em algorithm
- parameter estimation
- expectation maximization
- mixture of gaussians
- probability distribution
- density function
- multivariate gaussian
- boltzmann machine
- machine learning algorithms
- model selection
- machine learning methods
- pattern recognition
- probability density
- data mining
- supervised learning
- statistical analysis
- mixture model
- knowledge discovery
- image restoration
- probabilistic model
- dynamic programming
- feature extraction
- computer vision