DEIFY
发表于 2025-3-21 18:36:58
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Feedback
发表于 2025-3-21 22:20:52
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nautical
发表于 2025-3-22 03:00:37
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技术
发表于 2025-3-22 07:58:56
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FACET
发表于 2025-3-22 08:42:57
Explainability,the decisions and predictions made by the model (Gilpin et al. (Explaining explanations: An overview of interpretability of machine learning, . pp. 80–89, 2018)). It contrasts with the “black box” concept in machine learning (see Chap. . where even its designers cannot explain why a model arrived at a specific decision.
储备
发表于 2025-3-22 16:22:54
978-3-031-39479-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
amenity
发表于 2025-3-22 21:06:33
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altruism
发表于 2025-3-22 22:44:54
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browbeat
发表于 2025-3-23 03:23:48
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懒惰人民
发表于 2025-3-23 09:10:37
Meta-Math: Exploring the Limits of Modeling,In this chapter, we will explore mathematical and statistical modeling in general and explore their limits. That is, what can we expect from modeling and what not. What are the limits of the approach we call “modeling”?