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pro vyhledávání: '"Leger, Victor"'
Autor:
Leger, Victor, Couillet, Romain
This article considers a semi-supervised classification setting on a Gaussian mixture model, where the data is not labeled strictly as usual, but instead with uncertain labels. Our main aim is to compute the Bayes risk for this model. We compare the
Externí odkaz:
http://arxiv.org/abs/2403.17767
Autor:
Leger, Victor, Couillet, Romain
This article conducts a large dimensional study of a simple yet quite versatile classification model, encompassing at once multi-task and semi-supervised learning, and taking into account uncertain labeling. Using tools from random matrix theory, we
Externí odkaz:
http://arxiv.org/abs/2402.13646
Autor:
LEGER, VICTOR
Publikováno v:
American Art Collector; Jul2017, Issue 141, p114-115, 2p, 4 Color Photographs