Classifiers

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Advances in Large Margin Classifiers

Author : Alexander J. Smola
Publisher : MIT Press
ISBN 13 : 9780262194488
Total Pages : 436 pages
Book Rating : 4.1/5 (944 download)

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Book Synopsis Advances in Large Margin Classifiers by : Alexander J. Smola

Download or read book Advances in Large Margin Classifiers written by Alexander J. Smola and published by MIT Press. This book was released on 2000 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a key tool for dealing with classifiers. This book shows how this idea applies to both the theoretical analysis and the design of algorithms. The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. Among the contributors are Manfred Opper, Vladimir Vapnik, and Grace Wahba.

Learning Kernel Classifiers

Author : Ralf Herbrich
Publisher : MIT Press
ISBN 13 : 0262546590
Total Pages : 393 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Learning Kernel Classifiers by : Ralf Herbrich

Download or read book Learning Kernel Classifiers written by Ralf Herbrich and published by MIT Press. This book was released on 2022-11-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier—a limited, but well-established and comprehensively studied model—and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC-Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library.

Combining Pattern Classifiers

Author : Ludmila I. Kuncheva
Publisher : John Wiley & Sons
ISBN 13 : 0471660256
Total Pages : 372 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis Combining Pattern Classifiers by : Ludmila I. Kuncheva

Download or read book Combining Pattern Classifiers written by Ludmila I. Kuncheva and published by John Wiley & Sons. This book was released on 2004-08-20 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering pattern classification methods, Combining Classifiers: Ideas and Methods focuses on the important and widely studied issue of how to combine several classifiers together in order to achieve improved recognition performance. It is one of the first books to provide unified, coherent, and expansive coverage of the topic and as such will be welcomed by those involved in the area. With case studies that bring the text alive and demonstrate 'real-world' applications it is destined to become essential reading.

The Acquisition of Numeral Classifiers

Author : Kasumi Yamamoto
Publisher : Walter de Gruyter
ISBN 13 : 3110914956
Total Pages : 225 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis The Acquisition of Numeral Classifiers by : Kasumi Yamamoto

Download or read book The Acquisition of Numeral Classifiers written by Kasumi Yamamoto and published by Walter de Gruyter. This book was released on 2011-05-03 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is about the numeral classifier system and the acquisition of Japanese classifiers by Japanese children. It consists of two parts. First, it provides a general typological characterization of numeral classifier phrases and discusses problems in determining what constitutes the nature of classifiers. It also discusses the semantic properties of numeral classifiers based on an analysis of four languages from four different language families. Second, it examines the acquisitions of Japanese numeral classifiers by Japanese preschool children, ages 3 to 6, with a primary emphasis on the development of comprehension. The importance of the study is that it reveals that young children have a much greater sensitivity to the conceptual underpinnings of the numeral classifier system than was previously considered to be the case. The research results also provide a converging source of evidence that young children often come to initially grasp the structure of the world in ways that are better understood in cognitive than perceptual terms. The implications will contribute to not only the area of language acquisition but also categorization and conceptual development.

Classifiers

Author : Alexandra Y. Aikhenvald
Publisher : OUP Oxford
ISBN 13 : 0191543985
Total Pages : 562 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Classifiers by : Alexandra Y. Aikhenvald

Download or read book Classifiers written by Alexandra Y. Aikhenvald and published by OUP Oxford. This book was released on 2000-03-30 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Almost all languages have some ways of categorizing nouns. Languages of South-East Asia have classifiers used with numerals, while most Indo-European languages have two or three genders. They can have a similar meaning and one can develop from the other. This book provides a comprehensive and original analysis of noun categorization devices all over the world. It will interest typologists, those working in the fields of morphosyntactic variation and lexical semantics, as well as anthropologists and all other scholars interested in the mechanisms of human cognition.

Hybrid Classifiers

Author : Michal Wozniak
Publisher : Springer
ISBN 13 : 3642409970
Total Pages : 217 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Hybrid Classifiers by : Michal Wozniak

Download or read book Hybrid Classifiers written by Michal Wozniak and published by Springer. This book was released on 2013-09-16 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.

Statistical and Neural Classifiers

Author : Sarunas Raudys
Publisher : Springer Science & Business Media
ISBN 13 : 9781852332976
Total Pages : 328 pages
Book Rating : 4.3/5 (329 download)

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Book Synopsis Statistical and Neural Classifiers by : Sarunas Raudys

Download or read book Statistical and Neural Classifiers written by Sarunas Raudys and published by Springer Science & Business Media. This book was released on 2001-01-29 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural networks have been used successfully in a number of these fields, but so far their application has been based on a 'black box approach' with no real understanding of how they work. 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.. .

Genders and Classifiers

Author : Alexandra Y. Aikhenvald
Publisher : Oxford University Press
ISBN 13 : 0192579266
Total Pages : 336 pages
Book Rating : 4.1/5 (925 download)

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Book Synopsis Genders and Classifiers by : Alexandra Y. Aikhenvald

Download or read book Genders and Classifiers written by Alexandra Y. Aikhenvald and published by Oxford University Press. This book was released on 2019-08-22 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a comprehensive account of the typology of noun classification across the world's languages. Every language has some means of categorizing objects into humans, or animates, or by their shape, form, size, and function. The most widespread are linguistic genders - grammatical classes of nouns based on core semantic properties such as sex (female and male), animacy, humanness, and also shape and size. Classifiers of several types also serve to categorize entities. Numeral classifiers occur with number words, possessive classifiers appear in the expressions of possession, and verbal classifiers are used on a verb, categorizing its argument. These varied sorts of genders and classifiers can also occur together. This volume elaborates on the expression, usage, history, and meanings of noun categorization devices, exploring their various facets across the languages of South America and Asia, which are known for the diversity of their noun categorization. The volume begins with a typological introduction that outlines the types of noun categorization devices and their expression, scope, functions, and development, as well as sociocultural aspects of their use. The following nine chapters provide in-depth studies of genders and classifiers of different types in a range of South American and Asian languages and language families, including Arawak languages, Zamucoan, Hmong, and Japanese.

Numeral Classifiers in Chinese

Author : XuPing Li
Publisher : Walter de Gruyter
ISBN 13 : 3110289334
Total Pages : 324 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis Numeral Classifiers in Chinese by : XuPing Li

Download or read book Numeral Classifiers in Chinese written by XuPing Li and published by Walter de Gruyter. This book was released on 2013-08-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Unusual classifiers in Tariana

Author :
Publisher : Cambridge University Press
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4./5 ( download)

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Book Synopsis Unusual classifiers in Tariana by :

Download or read book Unusual classifiers in Tariana written by and published by Cambridge University Press. This book was released on with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Numeral Classifiers and Classifier Languages

Author : Chungmin Lee
Publisher : Taylor & Francis
ISBN 13 : 1351679600
Total Pages : 285 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Numeral Classifiers and Classifier Languages by : Chungmin Lee

Download or read book Numeral Classifiers and Classifier Languages written by Chungmin Lee and published by Taylor & Francis. This book was released on 2021-02-17 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing mainly on classifiers, Numeral Classifiers and Classifier Languages offers a deep investigation of three major classifier languages: Chinese, Japanese, and Korean. This book provides detailed discussions well supported by empirical evidence and corpus analyses. Theoretical hypotheses regarding differences and commonalities between numeral classifier languages and other mainly article languages are tested to seek universals or typological characteristics. The essays collected here from leading scholars in different fields promise to be greatly significant in the field of linguistics for several reasons. First, it targets three representative classifier languages in Asia. It also provides critical clues and suggests solutions to syntactic, semantic, psychological, and philosophical issues about classifier constructions. Finally, it addresses ensuing debates that may arise in the field of linguistics in general and neighboring inter-disciplinary areas. This book should be of great interest to advanced students and scholars of East Asian languages.

The Semantics of Chinese Classifiers and Linguistic Relativity

Author : Song Jiang
Publisher : Taylor & Francis
ISBN 13 : 1351967312
Total Pages : 230 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis The Semantics of Chinese Classifiers and Linguistic Relativity by : Song Jiang

Download or read book The Semantics of Chinese Classifiers and Linguistic Relativity written by Song Jiang and published by Taylor & Francis. This book was released on 2017-06-26 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Semantics of Chinese Classifiers and Linguistic Relativity focuses on the semantic structure of Chinese classifiers under the cognitive linguistics framework, and the implications thereof on linguistic relativity and language acquisition. It examines the semantic correlation between a given classifier and its associated nouns. Nouns in Chinese, which are assigned specific classifiers according to their selected characteristics, reflect the process of human categorization. The concrete categories formed by the relationship between nouns and classifiers may serve to explain the conceptual structure of the Chinese language and certain underlying aspects of culture and human cognition. Song Jiang is Assistant Professor of Chinese for the Department of East Asian Languages and Literatures at university of Hawai‘i at Mānoa.

Classifiers in Kam-Tai Languages

Author : Tian Qiao Lu
Publisher : Universal-Publishers
ISBN 13 : 1612331440
Total Pages : 263 pages
Book Rating : 4.6/5 (123 download)

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Book Synopsis Classifiers in Kam-Tai Languages by : Tian Qiao Lu

Download or read book Classifiers in Kam-Tai Languages written by Tian Qiao Lu and published by Universal-Publishers. This book was released on 2012 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph describes and analyzes the syntax of classifiers and cultural taxonomy in more than 20 major languages in southern China and Southeast Asia. It provides comprehensive and in-depth data for professional linguists and rudimental knowledge for postgraduate or undergraduate majors or minors engaged in linguistics. Readers will learn how nouns are categorized in syntax and what cultural factors are involved in such a classification process. This is the first book on Kam-Tai classifiers from both syntactic and sociocultural aspects.

Pattern Classifiers and Trainable Machines

Author : J. Sklansky
Publisher : Springer Science & Business Media
ISBN 13 : 1461258383
Total Pages : 345 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Pattern Classifiers and Trainable Machines by : J. Sklansky

Download or read book Pattern Classifiers and Trainable Machines written by J. Sklansky and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Classifier Systems

Author : Pier Luca Lanzi
Publisher : Springer Science & Business Media
ISBN 13 : 3540205446
Total Pages : 238 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Learning Classifier Systems by : Pier Luca Lanzi

Download or read book Learning Classifier Systems written by Pier Luca Lanzi and published by Springer Science & Business Media. This book was released on 2003-11-24 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Learning Classifier Systems, IWLCS 2003, held in Granada, Spain in September 2003 in conjunction with PPSN VII. The 10 revised full papers presented together with a comprehensive bibliography on learning classifier systems were carefully reviewed and selected during two rounds of refereeing and improvement. All relevant issues in the area are addressed.

Classifiers

Author : Aleksandra I︠U︡rʹevna Aĭkhenvalʹd
Publisher : Oxford University Press, USA
ISBN 13 :
Total Pages : 576 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Classifiers by : Aleksandra I︠U︡rʹevna Aĭkhenvalʹd

Download or read book Classifiers written by Aleksandra I︠U︡rʹevna Aĭkhenvalʹd and published by Oxford University Press, USA. This book was released on 2000 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text offers a cross-linguistic account of classifiers. Its range of exemplification includes major and minor languages from every continent and several of the examples are from the author's own fieldwork.

Statistical and Neural Classifiers

Author : Sarunas Raudys
Publisher : Springer Science & Business Media
ISBN 13 : 1447103599
Total Pages : 309 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Statistical and Neural Classifiers by : Sarunas Raudys

Download or read book Statistical and Neural Classifiers written by Sarunas Raudys and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data analysis. Neural networks have been used successfully in a number of these fields, but so far their application has been based on a 'black box approach' with no real understanding of how they work. 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.. .