A new algorithm for estimating the parameters and their asymptotic covariance in correlation and association models.
M. L. Aït-Sidi-AllalA. BacciniA. M. MondotPublished in: Comput. Stat. Data Anal. (2004)
Keyphrases
- expectation maximization
- parameter tuning
- dynamic programming
- experimental evaluation
- parameter estimation
- computational complexity
- preprocessing
- k means
- free parameters
- worst case
- matching algorithm
- np hard
- clustering method
- input data
- optimization algorithm
- learning algorithm
- maximum likelihood estimation
- objective function
- times faster
- em algorithm
- particle swarm optimization
- simulated annealing
- high accuracy
- cost function
- maximum likelihood
- detection algorithm
- computational cost
- bayesian framework
- parametric models
- significant improvement
- parameter selection
- levenberg marquardt
- optimal solution