Revisiting Ensembling for Improving the Performance of Deep Learning Models.
Antonio BrunoDavide MoroniMassimo MartinelliPublished in: ICPR Workshops (2) (2022)
Keyphrases
- learning models
- machine learning
- loss function
- machine learning algorithms
- semi supervised learning
- learning algorithm
- conditional random fields
- learning problems
- learning tasks
- classification models
- learning paradigms
- machine learning models
- real world
- natural language
- feature vectors
- active learning
- hidden markov models
- higher order
- decision trees
- genetic algorithm