Artnnh Makine Ogrenmesi: Artnnh Suuflandirma

Engin Baysal, Cuneyt Bayilmis

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

One of the research topics in machine learning is incremental machine learning. The ever-increasing data size and variety in response to the limited memory and processing power make incremental learning approaches mandatory. In this study, focal changes in the data are determined for incremental classification algorithms by defining the general framework of the incremental machine learning approach. In addition, along with the theoretical definition of incremental machine learning, the existing machine learning algorithms that are suitable for incremental machine learning are defined. It is mentioned that in terms of which features of these algorithms are suitable for incremental learning. This study provides a detailed definition for researchers who will work on incremental machine learning issues, as well as defines the incremental classification characteristics and gives information about the focus changes in the data.

Tercüme edilen katkı başlığıIncremental Machine Learning: Incremental Classification
Orijinal dilTürkçe
Ana bilgisayar yayını başlığıProceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar268-272
Sayfa sayısı5
ISBN (Elektronik)9781665470100
DOI'lar
Yayın durumuYayınlandı - 2022
Harici olarak yayınlandıEvet
Etkinlik7th International Conference on Computer Science and Engineering, UBMK 2022 - Diyarbakir, Turkey
Süre: 14 Eyl 202216 Eyl 2022

Yayın serisi

AdıProceedings - 7th International Conference on Computer Science and Engineering, UBMK 2022

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???event.eventtypes.event.conference???7th International Conference on Computer Science and Engineering, UBMK 2022
Ülke/BölgeTurkey
ŞehirDiyarbakir
Periyot14/09/2216/09/22

Bibliyografik not

Publisher Copyright:
© 2022 IEEE.

Keywords

  • continuous learning
  • incremental classification
  • incremental machine learning
  • lifelong learning

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