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Domain Independent Learning of Ontology Mappings
International Joint Conference on Autonomous Agents and Multiagent Systems, 2004This paper proposes a domain independent method for handling interoperability problems by learning a mapping between ontologies. The learning method is based on exchanging instances of concepts that are defined in the ontologies. The method starts with identifying pairs of instances of concepts denoting the same entity in the world using information ...
Wiesman, Floris, Roos, Nico
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ICCL: Independent and Correlative Correspondence Learning for few-shot image classification
Knowledge-Based Systems, 2023Zijun Zheng, Heng Wu, Hailiang Ye
exaly
Deep learning approaches for data-independent acquisition proteomics
Expert Review of Proteomics, 2021Yi Yang, Ling Lin, Liang Qiao
exaly
Wi-Fi-Based Location-Independent Human Activity Recognition via Meta Learning
Sensors, 2021Xue Ding, Ting Jiang, Yi Zhong
exaly

