Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature.
Duong-Nguyen NguyenTien-Lam PhamViet-Cuong NguyenHiori KinoTakashi MiyakeHieu-Chi DamPublished in: CoRR (2020)
Keyphrases
- ensemble learning
- high temperature
- generalization ability
- ensemble methods
- room temperature
- random forest
- ensemble classifier
- base classifiers
- data mining
- concept drift
- genetic algorithm
- weak learners
- reinforcement learning
- pattern recognition
- pairwise
- prior knowledge
- prediction accuracy
- feature selection
- machine learning