= p(X) and X = p(X). Where all Parameters are Nonnegative.
Paavo TurakainenPublished in: Results and Trends in Theoretical Computer Science (1994)
Keyphrases
- maximum likelihood
- input parameters
- artificial intelligence
- parameter estimation
- design parameters
- parameter space
- sensitivity analysis
- least squares
- databases
- high dimensional
- linear programming
- objective function
- expectation maximization
- image segmentation
- neural network
- parameter values
- maximum likelihood estimation
- control parameters
- real time
- parameter selection
- database