Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline.
Konstantinos FilippouGeorge AifantisGeorge A. PapakostasGeorge E. TsekourasPublished in: Inf. (2023)
Keyphrases
- structure learning
- machine learning
- transfer learning
- bayesian networks
- graphical models
- conditional independence
- model selection
- parameter learning
- parameter estimation
- bayesian network structure learning
- active learning
- markov logic networks
- data mining
- semi supervised learning
- text classification
- knowledge discovery
- machine learning algorithms
- hyperparameters
- learning algorithm
- text mining
- supervised learning
- knowledge representation
- hidden markov models
- higher order
- maximum likelihood estimation
- markov networks
- reinforcement learning
- feature selection