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pro vyhledávání: '"Helgesen, Nathaniel"'
Quantum machine learning (QML) aims to use quantum computers to enhance machine learning, but it is often limited by the required number of samples due to quantum noise and statistical limits on expectation value estimates. While efforts are made to
Externí odkaz:
http://arxiv.org/abs/2406.04944
Long-tailed semi-supervised learning (LTSSL) represents a practical scenario for semi-supervised applications, challenged by skewed labeled distributions that bias classifiers. This problem is often aggravated by discrepancies between labeled and unl
Externí odkaz:
http://arxiv.org/abs/2306.04621