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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
 

Keywords

deep forest machine learning random forest automated machine learning
 
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

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Master programme / field:
Artificial intelligence and data processing / Big data

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