Bayesian Optimization for Machine Learning : A Practical Guidebook.
Ian DewanckerMichael McCourtScott ClarkPublished in: CoRR (2016)
Keyphrases
- machine learning
- global optimization
- decision trees
- machine learning methods
- optimization problems
- efficient optimization
- optimization method
- optimization algorithm
- theoretical underpinnings
- bayesian estimation
- constrained optimization
- inductive learning
- learning problems
- real world
- artificial intelligence
- bayesian networks
- optimization strategies
- learning algorithm
- statistical inference
- machine learning approaches
- optimization process
- feature selection
- database
- maximum likelihood
- data driven
- computational intelligence
- combinatorial optimization
- pattern recognition
- text mining
- data analysis
- optimization methods
- feature space
- learning systems
- supervised learning
- data mining
- monte carlo sampling