旁观者 发表于 2025-3-23 11:46:51

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DEFER 发表于 2025-3-23 16:07:16

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inspiration 发表于 2025-3-23 18:55:55

select, implement, and analyze a group sequential stopping rule. Throughout, we illustrate trial design and monitoring in the context of a group sequential survival trial of an experimental monoclonal antibody in patients with relapsed chronic lymphocytic leukemia (CLL).

irreparable 发表于 2025-3-24 00:27:34

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Vsd168 发表于 2025-3-24 03:09:03

Book 2020y, an extremely challenging problem that involves designing ensembles and automatically choosing their sizes is described and solved. Given its scope, the book is intended for a professional audience of researchers and practitioners who dealwith stream data, e.g. in telecommunication, banking, and sensor networks..

在驾驶 发表于 2025-3-24 10:06:32

Hybrid Splitting Criteria a new kind of splitting criteria can be proposed, which combine together two different single criteria in a heuristic manner. We refer to them as hybrid splitting criteria. In this chapter, we discuss premises which demonstrate that such an approach may lead to satisfactory results.

ABIDE 发表于 2025-3-24 11:18:44

Classificationoduced modification allows increasing the diversity of the ensemble components. The problem of selection component is an essential issue for every ensemble algorithm [.,.,.,.,.,.,.,.], however, only few of them are not heuristic procedures [., .].

HALO 发表于 2025-3-24 18:34:07

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Gingivitis 发表于 2025-3-24 19:07:00

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multiply 发表于 2025-3-25 03:00:08

Misclassification Error Impurity Measureum of random variables. In this chapter, a split measure based on the misclassification error impurity measure is proposed [., .], which has the mentioned above property. In the case of misclassification error, the bounds obtained using the Hoeffding’s inequality and the McDiarmid’s inequality are equivalent.
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查看完整版本: Titlebook: Stream Data Mining: Algorithms and Their Probabilistic Properties; Leszek Rutkowski,Maciej Jaworski,Piotr Duda Book 2020 Springer Nature S