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Generalization With Deep Learning: For Improvement On Sensing Capability, Min Wu, Xiaoli Li, Zhenghua Chen


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Цена: 105600.00T
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Склад Америка: 167 шт.  
При оформлении заказа до: 2025-08-04
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Автор: Min Wu, Xiaoli Li, Zhenghua Chen
Название:  Generalization With Deep Learning: For Improvement On Sensing Capability
Перевод названия: Мин У, Сяоли Ли, Чжэнхуа Чэнь: Обобщение с глубоким обучением. Улучшение возможностей восприятия
ISBN: 9789811218835
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9811218838
Обложка/Формат: Hardback
Страницы: 324
Вес: 0.72 кг.
Дата издания: 26.04.2021
Серия: Computing & IT
Язык: English
Размер: 22.86 x 15.24 x 3.18 cm
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Artificial intelligence, COMPUTERS / Expert Systems
Рейтинг:
Поставляется из: Англии
Описание: Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing.

Description Approaches and Automated Generalization Algorithms for Groups of Map Objects

Автор: Haowen Yan
Название: Description Approaches and Automated Generalization Algorithms for Groups of Map Objects
ISBN: 9811336776 ISBN-13(EAN): 9789811336775
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features. The book is a valuable reference for graduates and researchers who are interested in cartography and geographic information science/systems, especially those in automated map generalization and spatial databases construction.

Hopf algebras and their generalizations from a category theoretical point of view

Автор: Boehm, Gabriella
Название: Hopf algebras and their generalizations from a category theoretical point of view
ISBN: 3319981366 ISBN-13(EAN): 9783319981369
Издательство: Springer
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Цена: 41920.00 T
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Описание: These lecture notes provide a self-contained introduction to a wide range of generalizations of Hopf algebras. Multiplication of their modules is described by replacing the category of vector spaces with more general monoidal categories, thereby extending the range of applications.Since Sweedler's work in the 1960s, Hopf algebras have earned a noble place in the garden of mathematical structures. Their use is well accepted in fundamental areas such as algebraic geometry, representation theory, algebraic topology, and combinatorics. Now, similar to having moved from groups to groupoids, it is becoming clear that generalizations of Hopf algebras must also be considered. This book offers a unified description of Hopf algebras and their generalizations from a category theoretical point of view. The author applies the theory of liftings to Eilenberg–Moore categories to translate the axioms of each considered variant of a bialgebra (or Hopf algebra) to a bimonad (or Hopf monad) structure on a suitable functor. Covered structures include bialgebroids over arbitrary algebras, in particular weak bialgebras, and bimonoids in duoidal categories, such as bialgebras over commutative rings, semi-Hopf group algebras, small categories, and categories enriched in coalgebras.Graduate students and researchers in algebra and category theory will find this book particularly useful. Including a wide range of illustrative examples, numerous exercises, and completely worked solutions, it is suitable for self-study.


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