MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping.

IEEE Transactions on NanoBioscience(2018)

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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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