Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ahouzi, Afrae"'
Autor:
Kölle, Michael, Ahouzi, Afrae, Debus, Pascal, Çetiner, Elif, Müller, Robert, Schuman, Daniëlle, Linnhoff-Popien, Claudia
Quantum one-class support vector machines leverage the advantage of quantum kernel methods for semi-supervised anomaly detection. However, their quadratic time complexity with respect to data size poses challenges when dealing with large datasets. In
Externí odkaz:
http://arxiv.org/abs/2407.20753
Autor:
Kölle, Michael, Ahouzi, Afrae, Debus, Pascal, Müller, Robert, Schuman, Danielle, Linnhoff-Popien, Claudia
Quantum computing, with its potential to enhance various machine learning tasks, allows significant advancements in kernel calculation and model precision. Utilizing the one-class Support Vector Machine alongside a quantum kernel, known for its class
Externí odkaz:
http://arxiv.org/abs/2312.09174
Fairness is one of the pillars of any well-functioning society. Recent law-making in the EU regulates the machine-centered approach and thus increases the necessity for certifiable fairness approaches. In this paper, we adapt previous literature on c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e96f8655b1a3a8dbc261eaa0817ffcc