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...

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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 34; číslo 11; s. 8602 - 8616
Hlavní autori:	Han, Honggui, Liu, Hongxu, Yang, Cuili, Qiao, Junfei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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