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Klaus Mainzer,Reinhard Kahle what is meant by a good estimate of the second-order structure. In particular, it will turn out that it is possible to get (m, . nonnegligibly wrong and yet still get nearly optimal linear predictors. More specifically, for a random field possessing an autocovariance function, if the observations a

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2194-0770 ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable..978-3-662-68289-0978-3-662-68290-6Series ISSN 2194-0770 Series E-ISSN 2194-0789

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查看完整版本: Titlebook: Limits of AI - theoretical, practical, ethical ; Klaus Mainzer,Reinhard Kahle Book 2024 The Editor(s) (if applicable) and The Author(s), u