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RETRACTED: Cost-sensitive classification algorithm combining the Bayesian algorithm and quantum decision tree

This study highlights the drawbacks of current quantum classifiers that limit their efficiency and data processing capabilities in big data environments. The paper proposes a global decision tree paradigm to address these issues, focusing on designing a complete quantum decision tree classification...

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Autori principali: Naihua Ji, Rongyi Bao, Xiaoyi Mu, Zhao Chen, Xin Yang, Shumei Wang
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2023-07-01
Serie:Frontiers in Physics
Soggetti:
decision tree
cost constraint
Bayesian algorithm
quantum computing
quantum kernel quantum decision tree classification
Accesso online:https://www.frontiersin.org/articles/10.3389/fphy.2023.1179868/full
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