Titlebook: Introduction to Transfer Learning; Algorithms and Pract Jindong Wang,Yiqiang Chen Book 2023 The Editor(s) (if applicable) and The Author(s)

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Jindong Wang,Yiqiang Chen Planetary Sciences. is superbly illustrated throughout with over450 line drawings, 180 black and white photographs, and 63 colourillustrations. It will be a key reference source for planetaryscientists, astronomers, and workers in related disciplines such asgeophysics, geology and the atmospheric s

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Jindong Wang,Yiqiang Cheninfected by the same virus, showing which other crops might be at risk of infection in the event of introduction of a virus that has not previously reported in an area, or which might serve as potential virus reservoirs for infection of more sensitive or economically important crops than the host in

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Jindong Wang,Yiqiang Cheninfected by the same virus, showing which other crops might be at risk of infection in the event of introduction of a virus that has not previously reported in an area, or which might serve as potential virus reservoirs for infection of more sensitive or economically important crops than the host in

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2730-9908 tions, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice..978-981-19-7586-8978-981-19-7584-4Series ISSN 2730-9908 Series E-ISSN 2730-9916

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Instance Weighting Methodsaluating the importance of each instance. In this chapter, we mainly focus on two basic methods: instance selection and instance weight adaptation. These two kinds of methods are widely adopted in existing transfer learning research and also act as the basic module for more complicated systems.

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Pre-Training and Fine-Tuningstarting from this chapter. In next chapters, the deep transfer learning methods focus on how to design better network architectures and loss functions based on the pre-trained network. Thus, this chapter can be seen as the foundations of the next chapters. Pre-training and fine-tuning belongs to th