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Machine Learning, Optimization, and Big Data, Nicosia


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Цена: 6986.00р.
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Автор: Nicosia
Название:  Machine Learning, Optimization, and Big Data
ISBN: 9783319729251
Издательство: Springer
Классификация:





ISBN-10: 331972925X
Обложка/Формат: Paperback
Страницы: 600
Вес: 0.94 кг.
Дата издания: 2018
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 159 illustrations, black and white; xxii, 586 p. 159 illus.
Размер: 234 x 156 x 32
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Information Systems Applications (incl. Internet)
Подзаголовок: Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions.


The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Principles and Theory for Data Mining and Machine Learning

Автор: Clarke
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 0387981349 ISBN-13(EAN): 9780387981345
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Extensive treatment of the most up-to-date topicsProvides the theory and concepts behind popular and emerging methodsRange of topics drawn from Statistics, Computer Science, and Electrical Engineering

Machine Learning, Optimization, and Big Data

Автор: Pardalos
Название: Machine Learning, Optimization, and Big Data
ISBN: 3319514687 ISBN-13(EAN): 9783319514680
Издательство: Springer
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Цена: 9224.00 р.
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Описание: This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions.

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Автор: Serkan Kiranyaz; Turker Ince; Moncef Gabbouj
Название: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
ISBN: 3642437621 ISBN-13(EAN): 9783642437625
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.

Future and Emerging Trends in Language Technology. Machine Learning and Big Data

Автор: Jos? F. Quesada; Mart?n Mateos Francisco-Jes?s; Te
Название: Future and Emerging Trends in Language Technology. Machine Learning and Big Data
ISBN: 3319693646 ISBN-13(EAN): 9783319693644
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions.

Machine Learning Models and Algorithms for Big Data Classification

Автор: Shan Suthaharan
Название: Machine Learning Models and Algorithms for Big Data Classification
ISBN: 1489978526 ISBN-13(EAN): 9781489978523
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents machine learning models and algorithms to address big data classification problems. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The third part presents the topics required to understand and select machine learning techniques to classify big data.

Teaching Learning Based Optimization Algorithm

Автор: R. Venkata Rao
Название: Teaching Learning Based Optimization Algorithm
ISBN: 3319227319 ISBN-13(EAN): 9783319227313
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Teaching Learning Based Optimization Algorithm

Learning and Intelligent Optimization

Автор: Roberto Battiti; Dmitri E. Kvasov; Yaroslav D. Ser
Название: Learning and Intelligent Optimization
ISBN: 3319694030 ISBN-13(EAN): 9783319694030
Издательство: Springer
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Цена: 9083.00 р.
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Описание:

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny, Novgorod, Russia, in June 2017.

The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Learning and Intelligent Optimization

Автор: Clarisse Dhaenens; Laetitia Jourdan; Marie-El?onor
Название: Learning and Intelligent Optimization
ISBN: 3319190830 ISBN-13(EAN): 9783319190839
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization, LION 9, which was held in Lille, France, in January 2015. The 31 contributions presented were carefully reviewed and selected for inclusion in this book.

Learning and Intelligent Optimization

Автор: Giuseppe Nicosia; Panos Pardalos
Название: Learning and Intelligent Optimization
ISBN: 3642449727 ISBN-13(EAN): 9783642449727
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the 7th International Conference on Learning and Optimization, LION 7, which was held in Catania, Italy, in January 2013. They explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

An Introduction to Machine Learning

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Learning and Intelligent Optimization

Автор: Panos M. Pardalos; Mauricio G.C. Resende; Chrysafi
Название: Learning and Intelligent Optimization
ISBN: 3319095838 ISBN-13(EAN): 9783319095837
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. multiobjective optimization;


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