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- W3119874866 abstract "Kernel mean embeddings have become a popular tool in machine learning. They map probability measures to functions in a reproducing kernel Hilbert space. The distance between two mapped measures def..." @default.
- W3119874866 created "2021-01-18" @default.
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- W3119874866 date "2018-01-01" @default.
- W3119874866 modified "2023-09-23" @default.
- W3119874866 title "Kernel distribution embeddings" @default.
- W3119874866 doi "https://doi.org/10.5555/3291125.3309606" @default.
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