Meta-Active Learning in Probabilistically Safe Optimization.
Mariah SchrumMark J. ConnollyEric R. ColeMihir GhetiyaRobert GrossMatthew C. GombolayPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- active learning
- semi supervised
- optimization process
- optimization algorithm
- learning strategies
- optimization problems
- machine learning
- discrete optimization
- meta level
- optimization model
- constrained optimization
- global optimization
- domain knowledge
- case study
- music emotion classification
- pool based active learning
- batch mode
- data sets
- optimal design
- information retrieval
- genetic algorithm
- learning algorithm
- random sampling
- optimization methods
- database systems
- training set
- training examples
- query processing
- cost function
- supervised learning