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The book begins with a brief overview of the most popular concepts used to provide generalization guarantees, including sections on Vapnik-Chervonenkis (VC), Rademacher, PAC-Bayesian, Robustness and Stability based bounds. In addition, the book explains domain adaptation problem and describes the four major families of theoretical results that exist in the literature, including the Divergence based bounds. Next, PAC-Bayesian bounds are discussed, including the original PAC-Bayesian bounds for domain adaptation and their updated version.Additional sections present generalization guarantees based on the robustness and stability properties of the learning algorithm.  Free Download Advances in Design Engineering IV English | 2024 | ISBN: 3031516222 | 1030 Pages | PDF (True) | 180 MB This book presents the cutting-edge research showcased at the XXXII International Congress INGEGRAF, held in Cádiz, Spain from 21-23 June 2023. 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The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons. |
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