Symbolic integration by integrating learning models with different strengths and weaknesses.
Hazumi KubotaYuta TokuokaTakahiro G. YamadaAkira FunahashiPublished in: CoRR (2021)
Keyphrases
- strengths and weaknesses
- learning models
- learning tasks
- advantages and disadvantages
- semi supervised learning
- learning algorithm
- machine learning
- loss function
- conditional random fields
- classification models
- machine learning algorithms
- usability testing
- relative strengths and weaknesses
- learning paradigms
- machine learning models
- learning problems
- support vector
- genetic algorithm
- real world