Meta-learning
Hovorka, Martin;
Meta-learning
Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Cílem práce je seznámit se a prostudovat metody meta-learningu, naprogramovat algoritmus a porovnat s dalšími metodami strojového učení.
E
Czech Republic
- Brno University of Technology Czech Republic
boosting, kNN, adaboostM1, ID3, bagging, IBL, C4.5, meta-learning, Decision Stump, stacking, Machine learning, CART, Cross Validation, Strojové učení, adaboost
boosting, kNN, adaboostM1, ID3, bagging, IBL, C4.5, meta-learning, Decision Stump, stacking, Machine learning, CART, Cross Validation, Strojové učení, adaboost