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- 1Association Learning
- 1Association Problems
- 1Co-embedding
- 1Constrained Co-embedding
- 1Convex Co-embedding
- 1Convex Optimization
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Spring 2017
Co-embedding is the process of mapping elements from multiple sets into a common latent space, which can be exploited to infer element-wise associations by considering the geometric proximity of their embeddings. Such an approach underlies the state of the art for link prediction, relation...
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