ODT - THESIS TOPIC: Tibor Gábor Tajti: Ensemble methods in machine ...


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Thesis topic proposal

Ensemble methods in machine learning

THESIS TOPIC PROPOSAL

Institute: University of Debrecen
computer sciences
Doctoral School of Informatics

Thesis supervisor: Tibor Gábor Tajti
Location of studies (in Hungarian): University of Debrecen Faculty of Informatics
Abbreviation of location of studies: DEIK

Description of the research topic:

This research topic focuses on studying existing and possible new ensemble methods that can improve the efficiency of applying proven algorithms in the field of machine learning. Emphasis will be put on the specificities of the different application domains and the applicability to multiple machine learning algorithms.

Bibliography
[1] Dietterich, Thomas G. "Ensemble methods in machine learning." International workshop on multiple classifier systems. Springer, Berlin, Heidelberg, 2000.
[2] Sagi, Omer, and Lior Rokach. "Ensemble learning: A survey." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8.4 (2018): e1249.
[3] Zhou, Zhi-Hua. Ensemble methods: foundations and algorithms. Chapman and Hall/CRC, 2019.
[4] Opitz, David, and Richard Maclin. "Popular ensemble methods: An empirical study." Journal of artificial intelligence research 11 (1999) 169-198

Deadline for application: 2022-11-15

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).