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Kernel mean embedding of distributions: a review and beyond
Provides a comprehensive review of kernel mean embeddings of distributions and, in the course of doing so, discusses some challenging issues that could potentially lead to new research directions. The targeted audience includes graduate students and researchers in machine learning and statistics.
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
Now Publishers
2017
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2762142 |