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Titlebook: Kernel Ridge Regression in Clinical Research; Ton J. Cleophas,Aeilko H. Zwinderman Textbook 2022 The Editor(s) (if applicable) and The Aut

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51#
發(fā)表于 2025-3-30 08:56:10 | 只看該作者
Ton J. Cleophas,Aeilko H. Zwindermandifferent aspects of it in tax and corporate law, the traditional OECD approach and practical aspects concerning intangibles, capital and risk allocation are covered by outstanding authors..978-3-642-43428-0978-3-642-25980-7Series ISSN 2196-0011 Series E-ISSN 2196-002X
52#
發(fā)表于 2025-3-30 15:56:37 | 只看該作者
Ton J. Cleophas,Aeilko H. Zwindermandifferent aspects of it in tax and corporate law, the traditional OECD approach and practical aspects concerning intangibles, capital and risk allocation are covered by outstanding authors..978-3-642-43428-0978-3-642-25980-7Series ISSN 2196-0011 Series E-ISSN 2196-002X
53#
發(fā)表于 2025-3-30 18:17:19 | 只看該作者
54#
發(fā)表于 2025-3-30 22:32:16 | 只看該作者
Ton J. Cleophas,Aeilko H. Zwindermanual level are presented, focusing on how to model process orchestrations and how to verify their correctness and soundness, and showing BPMN as the de facto modeling standard. Chapter 6 then details the concept978-3-031-48321-9978-3-031-48322-6
55#
發(fā)表于 2025-3-31 04:13:26 | 只看該作者
Ton J. Cleophas,Aeilko H. Zwindermanual level are presented, focusing on how to model process orchestrations and how to verify their correctness and soundness, and showing BPMN as the de facto modeling standard. Chapter 6 then details the concept978-3-031-48321-9978-3-031-48322-6
56#
發(fā)表于 2025-3-31 06:29:23 | 只看該作者
57#
發(fā)表于 2025-3-31 10:53:51 | 只看該作者
Ton J. Cleophas,Aeilko H. Zwindermanshto work from home—which has become possible through digital advances...The text would be of interest to scholars working in: architecture, urban planning, and construction..978-3-031-35370-3978-3-031-35368-0Series ISSN 2365-757X Series E-ISSN 2365-7588
58#
發(fā)表于 2025-3-31 15:03:24 | 只看該作者
59#
發(fā)表于 2025-3-31 19:09:27 | 只看該作者
Traditional Kernel Regression,oodness of fit tests) of the full loglikelihood model and the kernel model were respectively 1085 and 920, difference 165. This means, that the probability of the kernel regression model to minimize information loss is e . times less worse than the traditional loglikelihood model is.
60#
發(fā)表于 2025-3-31 23:23:59 | 只看該作者
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