MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping.
IEEE Transactions on NanoBioscience(2018)
摘要
Data mapping plays an important role in data integration and exchanges among institutions and organizations with different data standards. However, traditional rule-based approaches and machine learning methods fail to achieve satisfactory results for the data mapping problem. In this paper, we propose a novel and sophisticated deep learning framework for data mapping called mixture feature embedd...
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关键词
Data models,Feature extraction,Machine learning,Standards,Predictive models,Training,Semantics
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