HIGHLIGHTS
- who: Shahrivari et al. from the Electrical and Computer Systems Engineering, Monash University, Alliance Ln, Clayton, VIC, Australia have published the research: On Supervised Classification of Feature Vectors with Independent and Non-Identically Distributed Elements, in the Journal: Entropy 2021, 23, 1045. of 13/08/2021
- what: The authors investigate the problem of classifying feature vectors with mutually independent but non-identically distributed elements that take values from a finite alphabet set. The authors show the importance of this problem. Next the authors propose a classifier and derive an analytical upper bound on its error . . .
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