A General Framework for Machine Learning based Optimization Under Uncertainty.
Philipp A. GuthClaudia SchillingsSimon WeissmannPublished in: CoRR (2021)
Keyphrases
- machine learning
- global optimization
- optimization problems
- machine learning algorithms
- pattern recognition
- computer vision
- optimization process
- robust optimization
- discrete optimization
- artificial intelligence
- data mining
- handling uncertainty
- machine learning approaches
- inductive learning
- optimization approaches
- inductive logic programming
- learning systems
- feature selection
- support vector
- semi supervised learning
- computer science
- support vector machine
- constrained optimization
- real time
- supervised machine learning
- decision theory
- optimization model
- data analysis
- optimization algorithm
- computational intelligence
- model selection
- incomplete information
- learning problems
- combinatorial optimization
- machine learning methods