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Large-Scale Heterogeneous Feature Embedding

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF AR..., pp.3878-3885, (2019)

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Abstract

Feature embedding aims to learn a low-dimensional vector representation for each instance to preserve the information in its features. These representations can benefit various off-the-shelf learning algorithms. While embedding models for a single type of features have been well-studied, real-world instances often contain multiple types o...More

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