Results 281 to 290 of about 168,521,757 (307)
Some of the next articles are maybe not open access.
2022 26th International Conference on Pattern Recognition (ICPR), 2022
Nico Zengeler +2 more
openaire +1 more source
Nico Zengeler +2 more
openaire +1 more source
A Comprehensive Survey on Transfer Learning
Proceedings of the IEEE, 2021Dongbo Xi, Fuzhen Zhuang, Zhiyuan Qi
exaly
Transfer Learning in Deep Reinforcement Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Anil K. Jain, Zhuangdi Zhu, Kaixiang Lin
exaly
A Review of Deep Transfer Learning and Recent Advancements
Technologies, 2023Hamid Arabnia, Mohammadreza Iman
exaly
2013
The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs).
openaire +1 more source
The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs).
openaire +1 more source
Trustworthy Transfer Learning: Transferability and Trustworthiness
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023Jun Wu 0019, Jingrui He
openaire +1 more source
A review on transfer learning in EEG signal analysis
Neurocomputing, 2021Mengjie Huang, Rui Yang, Nianyin Zeng
exaly
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
IEEE Transactions on Instrumentation and Measurement, 2023Chen Xiaohan +2 more
exaly
Transfer learning improves landslide susceptibility assessment
Gondwana Research, 2023Limin Zhang, Haojie Wang
exaly

