Symbolic Integration by Integrating Learning Models With Different Strengths and Weaknesses.
Hazumi KubotaYuta TokuokaTakahiro G. YamadaAkira FunahashiPublished in: IEEE Access (2022)
Keyphrases
- strengths and weaknesses
- learning models
- advantages and disadvantages
- loss function
- machine learning
- learning tasks
- learning algorithm
- semi supervised learning
- learning problems
- classification models
- machine learning algorithms
- conditional random fields
- genetic algorithm
- machine learning models
- learning paradigms
- probabilistic model
- usability testing
- expectation maximization
- semi supervised
- decision trees
- relative strengths and weaknesses