Parameter Learning for Statistical Machine Translation Using CMA-ES.
Viet-Hong TranAnh-Tuan PhamVinh-Van NguyenHoai-Xuan NguyenHuy-Quang NguyenPublished in: KSE (2014)
Keyphrases
- parameter learning
- cma es
- evolution strategy
- covariance matrix
- bayesian networks
- structure learning
- evolutionary algorithm
- conditional random fields
- statistical learning
- maximum likelihood
- generative model
- em algorithm
- parameter estimation
- markov random field
- differential evolution
- approximate inference
- candidate solutions
- genetic algorithm
- principal component analysis
- expectation maximization
- hidden variables
- graphical models
- sample size
- information retrieval
- particle swarm optimization algorithm
- conditional independence
- machine learning
- optimization methods
- objective function
- global search
- convergence rate
- neural network