x
Redirected from EM
In Statistics, an expectation–maximization (EM) algorithm is an iterative method for finding Maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. (https://en.wikipedia.org/wiki/Expectation–maximization_algorithm)
Suggested Pages #
- 0.025 November 28
- 0.025 확률변수
- 0.025 Mathematics
- 0.025 Nature
- 0.025 Probability distribution
- 0.025 Central limit theorem
- 0.025 Poisson distribution
- 0.025 Binomial distribution
- 0.013 수학
- 0.013 Random variable
- More suggestions...