most citedA New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications

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cs.IT2013★ 2 cited

A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications

Bao-Gang Hu, Hong-Jie Xing

The existing upper and lower bounds between entropy and error are mostly derived through an inequality means without linking to joint distributions. In fact, from either theoretica…