Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization.
Daniel BeckAdrià de GispertGonzalo IglesiasAurelien WaiteBill ByrnePublished in: CoRR (2016)
Keyphrases
- concave convex procedure
- global optimization
- optimization algorithm
- high speed
- bayesian networks
- constrained optimization
- data driven
- bayesian learning
- saddle point
- maximum likelihood
- optimization problems
- monte carlo sampling
- artificial intelligence
- information retrieval
- efficient optimization
- discrete optimization
- parameter optimization
- posterior distribution
- optimal design
- bayesian methods
- parameter tuning
- optimization process
- database
- feature selection
- real time