Transfer Learning Algorithm With Knowledge Division Level

One of the major challenges of transfer learning algorithms is the domain drifting problem where the knowledge of source scene is inappropriate for the task of target scene. To solve this problem, a transfer learning algorithm with knowledge division level (KDTL) is proposed to subdivide knowledge o...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 34; číslo 11; s. 8602 - 8616
Hlavní autoři:	Han, Honggui, Liu, Hongxu, Yang, Cuili, Qiao, Junfei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Domain drifting problem Elastic layers hierarchal transfer learning algorithm integrated learning method Knowledge Knowledge acquisition Knowledge engineering Knowledge management Learning systems Machine learning Measurement negative transfer Prediction algorithms Predictive models Task analysis Theoretical analysis Transfer learning
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!