Bc. Katarína Nocarová
Master's thesis
On Deep Forest Algorithms
On Deep Forest Algorithms
Abstract:
Táto práca sa zameriava na algoritmus Deep Forest, navrhnuté Zhi-Hua Zhou a Ji Feng. Špecificky sa zameriava na jeho novšiu implementáciu - DF21. Zaoberá sa architektúrou a využitím tohto modelu. Ďalej porovnáva model s výsledkami staršej verzie - gcForest, s neurónovými sieťami a inými klasifikátormi. V závere sa zaoberá hyperparametrami DF21 a navrhuje dva modely na ich automatické nastavenie.Abstract:
This thesis focuses on the Deep Forest algorithm proposed by Zhi-Hua Zhou and Ji Feng, namely on its newer implementation - DF21. Firstly, it explores the architecture and usage of the model. Next, it compares the model to the result achieved by its older version - gcForest, neural networks, and other classifiers. The last chapters explore its hyperparameter space and propose two models for automated …more
Language used: English
Date on which the thesis was submitted / produced: 15. 12. 2023
Identifier:
https://is.muni.cz/th/n586h/
Thesis defence
- Date of defence: 8. 2. 2024
- Supervisor: doc. RNDr. Lubomír Popelínský, Ph.D.
- Reader: RNDr. Jaroslav Čechák
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Big data
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