蹒跚 发表于 2025-3-25 07:05:12

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彻底检查 发表于 2025-3-25 07:38:11

Advances in Knowledge Discovery and Data Mining978-3-031-05936-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

赏心悦目 发表于 2025-3-25 13:17:55

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148620.jpg

他很灵活 发表于 2025-3-25 19:31:31

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先锋派 发表于 2025-3-25 21:59:01

https://doi.org/10.1007/978-1-4615-2253-9 and their effect on the performance. We show that, with certain data preparation strategies, quantum algorithms are comparable with the classic version, yet allowing for a theoretical reduction of the complexity for distances calculation.

不适当 发表于 2025-3-26 03:56:39

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dilute 发表于 2025-3-26 05:01:08

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严厉批评 发表于 2025-3-26 10:41:22

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微尘 发表于 2025-3-26 15:23:20

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incite 发表于 2025-3-26 16:59:28

Y.-W. Peter Hong,Wan-Jen Huang,C.-C. Jay Kuo designed to remove “weak” instances selected in previous rounds. Experiments were undertaken on nine benchmark datasets. The results show that SPOR is superior to both popular co-training regression methods and state-of-the-art semi-supervised regressors.
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查看完整版本: Titlebook: Advances in Knowledge Discovery and Data Mining; 26th Pacific-Asia Co João Gama,Tianrui Li,Fei Teng Conference proceedings 2022 The Editor(