彻底明白 发表于 2025-3-25 05:35:33

The Case for Quantification, we also argue why using classification techniques for estimating class distributions is suboptimal, and we then discuss why learning to quantify has evolved as a task of its own, rather than remaining a by-product of classification.

利用 发表于 2025-3-25 07:35:14

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AVANT 发表于 2025-3-25 12:55:06

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CRATE 发表于 2025-3-25 15:49:40

Advanced Topics,ntification for networked data, and quantification for streaming data. The chapter ends with a discussion on how to derive confidence intervals for the class prevalence estimates returned by quantification systems.

返老还童 发表于 2025-3-25 20:59:16

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Expertise 发表于 2025-3-26 02:27:39

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前兆 发表于 2025-3-26 07:01:08

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灌溉 发表于 2025-3-26 11:42:53

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织布机 发表于 2025-3-26 12:40:10

Andrea Esuli,Alessandro Fabris,Alejandro Moreo,Fabrizio Sebastianile that are not part of their local community. In some cases, young people feel that belonging to online communities may serve as a refuge, a safe and stable place, in a modern society where everything else is moving. In this chapter we analyze how a sense of belonging develops for young members of

拉开这车床 发表于 2025-3-26 19:13:01

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查看完整版本: Titlebook: Learning to Quantify; Andrea Esuli,Alessandro Fabris,Fabrizio Sebastiani Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s)