vanquish 发表于 2025-3-30 11:30:50
Xinjun Luan,Reto Dorta,Anita Leitgeb,Christian Slugovc,Sascha Tiede,Siegfried Blecherted to systemic machine learning paradigms.Includes case stud.This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence KnowleRAFF 发表于 2025-3-30 15:24:00
David S. McGuinness,Kingsley J. Cavellreaming in the direction of the end customer but an increasing flow of products is corning back. This is happening for a whole range of industries, covering electronic goods, pharmaceuticals, beverages, and so on. For instance, the automobile industry is busy changing the physical and virtual supplysavage 发表于 2025-3-30 20:20:26
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Eloísa Jiménez-Núñez,Manuel Alcarazoreaming in the direction of the end customer but an increasing flow of products is corning back. This is happening for a whole range of industries, covering electronic goods, pharmaceuticals, beverages, and so on. For instance, the automobile industry is busy changing the physical and virtual supplymodest 发表于 2025-3-31 02:12:43
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Matthew Jeletic,Adam Veigee this result without first proving that one? Can a computer solve this problem? A highly active part of mathematical logic and computability theory, the subject offers beautiful results as well as significant foundational insights..This text provides a modern treatment of reverse mathematics that c全能 发表于 2025-3-31 16:10:50
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