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Rule Extraction from Support Vector Machines, Joachim Diederich


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Автор: Joachim Diederich
Название:  Rule Extraction from Support Vector Machines
ISBN: 9783642094637
Издательство: Springer
Классификация:

ISBN-10: 3642094635
Обложка/Формат: Paperback
Страницы: 262
Вес: 0.39 кг.
Дата издания: 23.11.2010
Серия: Studies in Computational Intelligence
Язык: English
Размер: 234 x 156 x 15
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Support vector machines (SVMs) are one of the most active research areas in machine learning. For SVMs to gain a wider degree of acceptance in fields such as medical diagnosis and security sensitive areas, it is desirable to offer an explanation capability.


Support Vector Machines and Evolutionary Algorithms for Classification

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319069403 ISBN-13(EAN): 9783319069401
Издательство: Springer
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Цена: 18284.00 р.
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

Twin Support Vector Machines

Автор: Jayadeva; Reshma Khemchandani; Suresh Chandra
Название: Twin Support Vector Machines
ISBN: 3319461842 ISBN-13(EAN): 9783319461847
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.

Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving

Автор: Pavel Brazdil; Alipio Jorge
Название: Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
ISBN: 354043030X ISBN-13(EAN): 9783540430308
Издательство: Springer
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Цена: 10480.00 р.
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Описание: The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt).

Converter Applications and their Influence on Large Electrical Machines

Автор: Oliver Drubel
Название: Converter Applications and their Influence on Large Electrical Machines
ISBN: 3642362818 ISBN-13(EAN): 9783642362811
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book surveys converter designs for large electrical machines, and derives methods for calculating machine phenomena, describing how such effects as torque ripple and induced shaft voltages can endanger the mechanical shaft system and bearings.

Adaptive Motion of Animals and Machines

Автор: Hiroshi Kimura; Kazuo Tsuchiya; Akio Ishiguro; Har
Название: Adaptive Motion of Animals and Machines
ISBN: 443156313X ISBN-13(EAN): 9784431563136
Издательство: Springer
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Цена: 13275.00 р.
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Описание: * Motivation It is our dream to understand the principles of animals` remarkable ability for adaptive motion and to transfer such abilities to a robot.

Support Vector Machines and Evolutionary Algorithms for Classification

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319382438 ISBN-13(EAN): 9783319382432
Издательство: Springer
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Цена: 15672.00 р.
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

Support Vector Machines

Автор: Ingo Steinwart; Andreas Christmann
Название: Support Vector Machines
ISBN: 1489989633 ISBN-13(EAN): 9781489989635
Издательство: Springer
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Цена: 20962.00 р.
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Описание: In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and last but not least their computational e?ciency compared with several other methods.

Feature Extraction

Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft
Название: Feature Extraction
ISBN: 366251771X ISBN-13(EAN): 9783662517710
Издательство: Springer
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Цена: 41787.00 р.
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Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.

Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology

Автор: Maria T. Pazienza
Название: Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
ISBN: 354063438X ISBN-13(EAN): 9783540634386
Издательство: Springer
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Цена: 5031.00 р.
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Описание: Information extraction (IE) is a technology enabling the relevant content to be extracted from textual information available electronically. This monograph is devoted to this field and should be of interest to those working in information processing technology.

Information Extraction: Algorithms and Prospects in a Retrieval Context

Автор: Marie-Francine Moens
Название: Information Extraction: Algorithms and Prospects in a Retrieval Context
ISBN: 9048172462 ISBN-13(EAN): 9789048172467
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text.

Innovations in Intelligent Machines-4

Автор: Colette Faucher; Lakhmi C. Jain
Название: Innovations in Intelligent Machines-4
ISBN: 3319018655 ISBN-13(EAN): 9783319018652
Издательство: Springer
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Цена: 22203.00 р.
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Описание: The fourth publication in a continuing series on natural and computational intelligence, this volume covers the latest research in big data and ontologies, knowledge-based systems, and applications involving prediction, decision optimization, and assessment.

Innovations in Intelligent Machines-5

Автор: Valentina Emilia Balas; Petia Koprinkova-Hristova;
Название: Innovations in Intelligent Machines-5
ISBN: 3662433699 ISBN-13(EAN): 9783662433690
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Innovations in Intelligent Machines-5


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