Support Vector Machines, Ingo Steinwart; Andreas Christmann

Автор: Shigeo Abe
Название: Support Vector Machines for Pattern Classification
ISBN: 1447125487 ISBN-13(EAN): 9781447125488
Издательство: Springer
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Цена: 22201.00 р.
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Описание: This guide on the use of SVMs in pattern classification includes a rigorous performance comparison of classifiers and regressors. The book takes the unique approach of focusing on classification rather than covering the theoretical aspects of SVMs.

Автор: Kelly John E., Hamm Steve
Название: Smart Machines: IBM`s Watson and the Era of Cognitive Computing
ISBN: 023116856X ISBN-13(EAN): 9780231168564
Издательство: Wiley
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Цена: 3008.00 р.
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Описание:

We are crossing a new frontier in the evolution of computing and entering the era of cognitive systems. The victory of IBM's Watson on the television quiz show Jeopardy revealed how scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology to create machines that sense, learn, reason, and interact with people in new ways to provide insight and advice.

In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of "cognitive systems" to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm's comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of "big data," one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.

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.

Автор: Murty
Название: Support Vector Machines and Perceptrons
ISBN: 3319410628 ISBN-13(EAN): 9783319410623
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>

Автор: Mario Neto Borges; Nival Nunes de Almeida
Название: Intelligent Educational Machines
ISBN: 3642079539 ISBN-13(EAN): 9783642079535
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book presents recent advances in intelligent educational machines. It will be of particular interest to engineers, researchers, and graduate students in Computational Intelligence.

Автор: Mario Neto Borges; Nival Nunes de Almeida
Название: Intelligent Educational Machines
ISBN: 3540449205 ISBN-13(EAN): 9783540449201
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Offers a spectrum of sample works developed in leading research throughout the world about innovative methodologies of artificial intelligence in education and foundations of engineering educational intelligent systems as well as application and interesting experiences in the field.

Автор: V.K. Astashev; Karima Khusnutdinova; V. I. Babitsk
Название: Ultrasonic Processes and Machines
ISBN: 354072060X ISBN-13(EAN): 9783540720607
Издательство: Springer
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Цена: 28734.00 р.
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Описание: This work is the first and only book on the fundamentals of ultrasonic machining. It presents the foundations of dynamic and control for ultrasonic processing systems and considers ultrasonic systems as special vibratory machines that function by exploiting nonlinear dynamic processes.

Автор: Toyohide Watanabe; Lakhmi C Jain
Название: Innovations in Intelligent Machines -2
ISBN: 3642271227 ISBN-13(EAN): 9783642271229
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Continuing where the last volume left off, this publication covers cutting-edge research into intelligent machines, including innovative applications such as document processing, language translation, and lightweight reprogramming for wireless sensor networks.