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Soft Computing in Machine Learning, Sang-Yong Rhee; Jooyoung Park; Atsushi Inoue


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Автор: Sang-Yong Rhee; Jooyoung Park; Atsushi Inoue
Название:  Soft Computing in Machine Learning
ISBN: 9783319055329
Издательство: Springer
Классификация:
ISBN-10: 3319055321
Обложка/Формат: Soft cover
Страницы: 117
Вес: 0.21 кг.
Дата издания: 19.03.2014
Серия: Advances in Intelligent Systems and Computing
Язык: English
Издание: 2014 ed.
Иллюстрации: 15 illustrations, color; 54 illustrations, black and white; x, 117 p. 69 illus., 15 illus. in color.
Размер: 234 x 156 x 7
Читательская аудитория: Professional & vocational
Основная тема: Computational Intelligence
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning.


High Performance Programming for Soft Computing

Название: High Performance Programming for Soft Computing
ISBN: 146658601X ISBN-13(EAN): 9781466586017
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as multicore processors and graphics processing units, to implement highly efficient intelligent system methods using a general purpose computer.

Machine Learning for the Quantified Self

Автор: Mark Hoogendoorn; Burkhardt Funk
Название: Machine Learning for the Quantified Self
ISBN: 3319663070 ISBN-13(EAN): 9783319663074
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience. Discussing concepts drawn from from state-of-the-art scientific literature, it illustrates the approaches using a case study of a rich self-tracking data set. Self-tracking has become part of the modern lifestyle, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. Luckily, in the domain of artificial intelligence there are techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are ample books that explain machine-learning techniques, self-tracking data comes with its own difficulties that require dedicated techniques such as learning over time and across users.

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.

Advances in Soft Computing and Machine Learning in Image Processing

Автор: Aboul Ella Hassanien; Diego Alberto Oliva
Название: Advances in Soft Computing and Machine Learning in Image Processing
ISBN: 3319637533 ISBN-13(EAN): 9783319637532
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Granular Computing Based Machine Learning

Автор: Han Liu; Mihaela Cocea
Название: Granular Computing Based Machine Learning
ISBN: 331970057X ISBN-13(EAN): 9783319700571
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Introduction, - Traditional Machine Learning, - Semi-supervised Learning through Machine Based Labelling, - Nature Inspired Semi-heuristic Learning, - Fuzzy Classification through Generative Multi-task Learning, - Multi-granularity Semi-random Data Partitioning, - Multi-granularity Rule Learning, - Case Studies, - Con

New Learning Paradigms in Soft Computing

Автор: Lakhmi C. Jain; Janusz Kacprzyk
Название: New Learning Paradigms in Soft Computing
ISBN: 3790814369 ISBN-13(EAN): 9783790814361
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets and evolutionary computations.

New Learning Paradigms in Soft Computing

Автор: Lakhmi C. Jain; Janusz Kacprzyk
Название: New Learning Paradigms in Soft Computing
ISBN: 3790824992 ISBN-13(EAN): 9783790824995
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

Bankruptcy Prediction through Soft Computing based Deep Learning Technique

Автор: Arindam Chaudhuri; Soumya K Ghosh
Название: Bankruptcy Prediction through Soft Computing based Deep Learning Technique
ISBN: 9811066825 ISBN-13(EAN): 9789811066825
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models.

Software Agents and Soft Computing: Towards Enhancing Machine Intelligence

Автор: Hyacinth S. Nwana; Nader Azarmi
Название: Software Agents and Soft Computing: Towards Enhancing Machine Intelligence
ISBN: 3540625607 ISBN-13(EAN): 9783540625605
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This carefully arranged book is mainly based on work done by the Intelligent Systems Research Group at BT Laboratories, essentially in cooperation with internationally leading scientists from outside BT. The final section outlines the broader context in dealing with machine intelligence in general and intelligent software systems in particular.

Cyber Security Cryptography and Machine Learning

Автор: Shlomi Dolev; Sachin Lodha
Название: Cyber Security Cryptography and Machine Learning
ISBN: 3319600796 ISBN-13(EAN): 9783319600796
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems;

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Автор: Noel Lopes; Bernardete Ribeiro
Название: Machine Learning for Adaptive Many-Core Machines - A Practical Approach
ISBN: 3319380966 ISBN-13(EAN): 9783319380964
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Introduction.- Supervised Learning.- Unsupervised and Semi-supervised Learning.- Large-Scale Machine Learning.

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.


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