The use of the method of maximum likelihood in estimating continuous-modulated intelligence which has been corrupted by noise.
Dante C. YoulaPublished in: Trans. IRE Prof. Group Inf. Theory (1954)
Keyphrases
- maximum likelihood
- dynamic programming
- high precision
- clustering method
- input data
- additive noise
- missing data
- high accuracy
- support vector machine
- significant improvement
- computational complexity
- objective function
- similarity measure
- artificial intelligence
- preprocessing
- detection method
- image reconstruction
- gaussian distribution
- maximum likelihood estimation
- genetic algorithm