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Wang et al., 2019 - Google Patents

Fast approximation of empirical entropy via subsampling

Wang et al., 2019

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Document ID
12645994520787669770
Author
Wang C
Ding B
Publication year
Publication venue
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

External Links

Snippet

Empirical entropy refers to the information entropy calculated from the empirical distribution of a dataset. It is a widely used aggregation function for knowledge discovery, as well as the foundation of other aggregation functions such as mutual information. However, computing …
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Classifications

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    • G—PHYSICS
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