Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?
Charlie VanaretPhilipp SeufertJan SchwientekGleb KarpovGleb V. RyzhakovIvan V. OseledetsNorbert AsprionMichael BortzPublished in: Comput. Chem. Eng. (2021)
Keyphrases
- optimal design
- data driven
- strengths and weaknesses
- optimal solution
- embedded systems
- average reward reinforcement learning
- data sets
- engineering design
- computer aided
- machine learning algorithms
- knowledge based systems
- worst case
- upper bound
- dynamic programming
- face recognition
- image processing
- knowledge base
- social networks