Name: Advances in Domain Adaptation Theory (en Inglés)
SKU: 52081799
Price: 127.08 USD
Availability: InStock
Author: Ievgen Redko; Emilie Morvant; Amaury Habrard; Marc Sebban; YounÈS Bennani

portada Advances in Domain Adaptation Theory (en Inglés)

Advances in Domain Adaptation Theory (en Inglés)

Formato

Libro Físico

Autor

Ievgen Redko; Emilie Morvant; Amaury Habrard; Marc Sebban; YounÈS Bennani

Año

2019

Idioma

Inglés

N° páginas

208

Encuadernación

Tapa Dura

ISBN13

9781785482366

N° edición

Categorías

Ciencias de la computación

Advances in Domain Adaptation Theory (en Inglés)

Ievgen Redko; Emilie Morvant; Amaury Habrard; Marc Sebban; YounÈS Bennani (Autor) · · Tapa Dura

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Reseña del libro "Advances in Domain Adaptation Theory (en Inglés)"

Advances in Domain Adaptation Theory gives current, state-of-the-art results on transfer learning, with a particular focus placed on domain adaptation from a theoretical point-of-view. 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. Gives an overview of current results on transfer learningFocuses on the adaptation of the field from a theoretical point-of-viewDescribes four major families of theoretical results in the literatureSummarizes existing results on adaptation in the fieldProvides tips for future research