Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling

書目詳細資料

發表在:	arXiv.org (Jul 30, 2024), p. n/a
主要作者:	Kölle, Michael
其他作者:	Ahouzi, Afrae, Debus, Pascal, Çetiner, Elif, Müller, Robert, Schuman, Daniëlle, Linnhoff-Popien, Claudia
出版:	Cornell University Library, arXiv.org
主題:	Testing time Complexity Anomalies Support vector machines Kernel functions Variance Time measurement
在線閱讀:	Citation/Abstract Full text outside of ProQuest
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