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pro vyhledávání: '"Fang, Runze"'
Continual learning enables AI models to learn new data sequentially without retraining in real-world scenarios. Most existing methods assume the training data are balanced, aiming to reduce the catastrophic forgetting problem that models tend to forg
Externí odkaz:
http://arxiv.org/abs/2408.10349
The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most entity alignment methods only use graph neural network to obtain the embe
Externí odkaz:
http://arxiv.org/abs/2311.00300
The relation triples extraction method based on table filling can address the issues of relation overlap and bias propagation. However, most of them only establish separate table features for each relationship, which ignores the implicit relationship
Externí odkaz:
http://arxiv.org/abs/2210.03291
Akademický článek
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Publikováno v:
2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE).
Light ad hoc network is a newly developing system structure in ad hoc network compared with radio frequency (RF) based ad hoc networks. Due to its unique characteristic in physical layer, LANET is a special plan that deploy networks in both sparse an