Plurality and Classifiers across Languages in China, Dan Xu

Автор: Lewis D David, Brown A William, Oppong R. Joseph,
Название: On the Plurality of Worlds
ISBN: 0631224262 ISBN-13(EAN): 9780631224266
Издательство: Wiley
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Цена: 31630.00 T
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Описание: This book is a defense of modal realism; the thesis that our world is but one of a plurality of worlds, and that the individuals that inhabit our world are only a few out of all the inhabitants of all the worlds.

Автор: Alex Pappachen James
Название: Deep learning classifiers with memristive networks.
ISBN: 3030145220 ISBN-13(EAN): 9783030145224
Издательство: Springer
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Цена: 158380.00 T
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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.

Название: Numeral Classifiers and Classifier Languages
ISBN: 1138054976 ISBN-13(EAN): 9781138054974
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: Focussing mainly on classifiers, Numeral Classifier and Classifier Languages offers a deep investigation of the three major classifier languages: Chinese, Japanese, and Korean. It provides detailed discussions well supported by empirical evidence and corpus analyses.

Автор: Dan Xu
Название: Plurality and Classifiers Across Languages in China
ISBN: 311029382X ISBN-13(EAN): 9783110293821
Издательство: Walter de Gruyter
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Цена: 161100.00 T
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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.

Автор: Dan Xu
Название: Plurality and Classifiers across Languages in China
ISBN: 3110485346 ISBN-13(EAN): 9783110485349
Издательство: Walter de Gruyter
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Цена: 24730.00 T
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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: XuPing Li
Название: Numeral Classifiers in Chinese: The Syntax-Semantics Interface
ISBN: 3110287633 ISBN-13(EAN): 9783110287639
Издательство: Walter de Gruyter
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Цена: 161100.00 T
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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: Zhang, Xu
Название: English quasi-numeral classifiers
ISBN: 3034328184 ISBN-13(EAN): 9783034328180
Издательство: Peter Lang
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Цена: 111340.00 T
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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: Ludmila I. Kuncheva
Название: Combining Pattern Classifiers: Methods and Algorithms
ISBN: 1118315235 ISBN-13(EAN): 9781118315231
Издательство: Wiley
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Цена: 104490.00 T
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Описание: Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers.

Автор: Michal Wozniak
Название: Hybrid Classifiers
ISBN: 3642409962 ISBN-13(EAN): 9783642409967
Издательство: Springer
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Цена: 130430.00 T
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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: J. Sklansky; G.N. Wassel
Название: Pattern Classifiers and Trainable Machines
ISBN: 1461258405 ISBN-13(EAN): 9781461258407
Издательство: Springer
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Цена: 74490.00 T
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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: Alsing Stephen G.
Название: The Evaluation of Competing Classifiers
ISBN: 1288324324 ISBN-13(EAN): 9781288324323
Издательство: Неизвестно
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Цена: 71050.00 T
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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