Partitioned algorithms for maximum likelihood and other non-linear estimation.
Gordon K. SmythPublished in: Stat. Comput. (1996)
Keyphrases
- maximum likelihood
- recently developed
- learning algorithm
- computational cost
- significant improvement
- graph theory
- estimation algorithm
- decision trees
- data structure
- hidden markov models
- machine learning
- optimization problems
- computer vision
- theoretical analysis
- orders of magnitude
- social networks
- bayesian networks
- search algorithm
- expectation maximization
- computationally expensive