Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement.
Konstantinos D. PolyzosQin LuGeorgios B. GiannakisPublished in: ICASSP (2023)
Keyphrases
- learning models
- learning algorithm
- loss function
- semi supervised learning
- machine learning algorithms
- machine learning
- learning problems
- learning tasks
- conditional random fields
- classification models
- machine learning models
- optimization algorithm
- real world
- optimization method
- decision trees
- neural network
- bayesian networks
- sparse metric learning
- unlabeled data
- hidden markov models
- prior knowledge
- training data
- feature selection
- information retrieval
- bayesian models
- intermediate concepts