Parallel Sequential Random Embedding Bayesian Optimization.
Noriko YokoyamaMasahiro KohjimaTatsushi MatsubayashiHiroyuki TodaPublished in: SN Comput. Sci. (2021)
Keyphrases
- optimization algorithm
- decision theory
- efficient optimization
- optimization problems
- parallel version
- data driven
- parallel processing
- global optimization
- real time
- parallel computation
- constrained optimization
- posterior probability
- digital images
- parallel programming
- nonlinear dimensionality reduction
- bayesian estimation
- discrete optimization
- bayesian decision
- optimization model
- optimization process
- optimization method
- vector space
- maximum likelihood
- hidden markov models
- learning algorithm
- data sets