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Tsallis Entropy Based Labelling

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 2020
In the field of supervised classification, the quality of training data is an essential aspect of accurate learning, along with the selection of a learning algorithm or parameters optimisation. To improve the quality of training data, it is necessary to reflect an annotator’s idea on to which class any given instance belongs in the form of a label as ...
Kentaro Goto, Masato Uchida
openaire   +1 more source

Some properties of Tsallis and Tsallis–Lin quantum relative entropies

Physica A: Statistical Mechanics and its Applications, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jelodar, Reza Asgharzadeh   +2 more
openaire   +1 more source

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