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This monograph 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 who are interested in the theory and applications of Kernel Mean embeddings..
This monograph 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
Uneori, aceste descrieri pot contine inadvertente. De asemenea, imaginea este informativa si poate contine accesorii neincluse in pachetele standard.
