Titlebook: An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces; Sergei Pereverzyev Textbook 2022 The Editor(s) (if

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https://doi.org/10.1007/978-3-658-04950-8chnique, the sample . is considered as a training set of examples of input–output pairs .. = (.., ..) observed in a system under study, and the goal is to use the above data in predicting output . for a previously unseen input . ∈ ..

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2296-4568 algorithms of the Learning Theory, comprising most linear re.This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks. The author demonstrates how the concept of repr

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2296-4568 regression or ranking, but also different learning scenarios, such as unsupervised domain adaptation or reinforcement learning. By analyzing these topics using the same theoretical framework, rather than appro978-3-030-98315-4978-3-030-98316-1Series ISSN 2296-4568 Series E-ISSN 2296-455X