Автор: Alex Pappachen James Название: Deep learning classifiers with memristive networks. ISBN: 3030145220 ISBN-13(EAN): 9783030145224 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks.
Автор: Zhang, Xu Название: English quasi-numeral classifiers ISBN: 3034328184 ISBN-13(EAN): 9783034328180 Издательство: Peter Lang Рейтинг: Цена: 111340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book is an interdisciplinary study of English binominal quantitative constructions based on English-Chinese comparison. Taking three perspectives, i.e. a functional-typological perspective, a cognitive approach, and a corpus-based method, it aims to unveil the hidden categorisation process behind the usage of English binominal quantitative constructions and to reveal the language universal in cognising the concepts of ‘Quantity’ and ‘Quality’. It argues against treating Chinese and English as members of two opposing typological camps concerning quantification modes (‘classifier languages’ versus ‘non-classifier languages’) and advocates to view the two languages as lying within a more extended and inclusive system, viz. a system of quantification and categorisation modes, or a Quantity-Quality continuum.
Автор: XuPing Li Название: Numeral Classifiers in Chinese: The Syntax-Semantics Interface ISBN: 3110287633 ISBN-13(EAN): 9783110287639 Издательство: Walter de Gruyter Рейтинг: Цена: 161100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks, as well as studies that provide new insights by approaching language from an interdisciplinary perspective. TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language. TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing.
Автор: XuPing Li Название: Numeral Classifiers in Chinese: The Syntax-Semantics Interface ISBN: 3110289342 ISBN-13(EAN): 9783110289343 Издательство: Walter de Gruyter Цена: 185890.00 T Наличие на складе: Невозможна поставка. Описание: This book studies the syntax and semantics of numeral classifiers in Mandarin and other Chinese languages. It explores how Chinese classifiers are semantically interpreted in syntactic contexts and how semantic functions of classifiers are realized at the syntactic level. The book is a contribution to formal Chinese linguistics, and to the understanding of grammatical properties of nominal phrases in Chinese and East Asian languages.
Автор: Dan Xu Название: Plurality and Classifiers across Languages in China ISBN: 3110293994 ISBN-13(EAN): 9783110293999 Издательство: Walter de Gruyter Цена: 185890.00 T Наличие на складе: Невозможна поставка. Описание: Plural marking, numeral classifiers and reduplication constitute the main means of quantification marking in the domain of grammar. The contributions in this book focus onthe typological correlation between the three different strategies for quantification, as well as on some general issues. A better understanding of the quantification strategies in the languages of China will enrich our comprehension of human language and thought. The book is expected to have an impact on the study of linguistic typology, language contact, and patterns of the evolution.
Автор: Dan Xu Название: Plurality and Classifiers across Languages in China ISBN: 3110485346 ISBN-13(EAN): 9783110485349 Издательство: Walter de Gruyter Рейтинг: Цена: 24730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Plural marking, numeral classifiers and reduplication constitute the main means of quantification marking in the domain of grammar. The contributions in this book focus on the typological correlation between the three different strategies for quantification, as well as on some general issues. A better understanding of the quantification strategies in the languages of China will enrich our comprehension of human language and thought. The book is expected to have an impact on the study of linguistic typology, language contact, and patterns of the evolution.
Автор: Dan Xu Название: Plurality and Classifiers Across Languages in China ISBN: 311029382X ISBN-13(EAN): 9783110293821 Издательство: Walter de Gruyter Рейтинг: Цена: 161100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks as well as studies that provide new insights by building bridges to neighbouring fields such as neuroscience and cognitive science.
TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language.
TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing.
Автор: Michal Wozniak Название: Hybrid Classifiers ISBN: 3662523043 ISBN-13(EAN): 9783662523049 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book details how hybridization can help improve the quality of computer classification systems. It introduces the different levels of hybridization and illuminates common problems faced when dealing with such projects.
Автор: Sarunas Raudys Название: Statistical and Neural Classifiers ISBN: 1447110714 ISBN-13(EAN): 9781447110712 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, Sarunas Raudys - an internationally respected researcher in the area - provides an excellent mathematical and applied introduction to how neural network classifiers work and how they should be used..
Автор: J. Sklansky; G.N. Wassel Название: Pattern Classifiers and Trainable Machines ISBN: 1461258405 ISBN-13(EAN): 9781461258407 Издательство: Springer Рейтинг: Цена: 74490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the outgrowth of both a research program and a graduate course at the University of California, Irvine (UCI) since 1966, as well as a graduate course at the California State Polytechnic University, Pomona (Cal Poly Pomona). The research program, part of the UCI Pattern Recogni- tion Project, was concerned with the design of trainable classifiers; the graduate courses were broader in scope, including subjects such as feature selection, cluster analysis, choice of data set, and estimates of probability densities. In the interest of minimizing overlap with other books on pattern recogni- tion or classifier theory, we have selected a few topics of special interest for this book, and treated them in some depth. Some of this material has not been previously published. The book is intended for use as a guide to the designer of pattern classifiers, or as a text in a graduate course in an engi- neering or computer science curriculum. Although this book is directed primarily to engineers and computer scientists, it may also be of interest to psychologists, biologists, medical scientists, and social scientists.
Автор: Jurgen Beyerer, Matthias Richter, Matthias Nagel Название: Pattern Recognition: Introduction, Features, Classifiers and Principles ISBN: 3110537931 ISBN-13(EAN): 9783110537932 Издательство: Walter de Gruyter Цена: 86720.00 T Наличие на складе: Невозможна поставка. Описание: The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners
Автор: Alsing Stephen G. Название: The Evaluation of Competing Classifiers ISBN: 1288324324 ISBN-13(EAN): 9781288324323 Издательство: Неизвестно Рейтинг: Цена: 71050.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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