Название: High Performance Programming for Soft Computing ISBN: 146658601X ISBN-13(EAN): 9781466586017 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Han Liu; Mihaela Cocea Название: Granular Computing Based Machine Learning ISBN: 331970057X ISBN-13(EAN): 9783319700571 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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
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 Рейтинг: Цена: 214280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Lakhmi C. Jain; Janusz Kacprzyk Название: New Learning Paradigms in Soft Computing ISBN: 3790814369 ISBN-13(EAN): 9783790814361 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Lakhmi C. Jain; Janusz Kacprzyk Название: New Learning Paradigms in Soft Computing ISBN: 3790824992 ISBN-13(EAN): 9783790824995 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Arindam Chaudhuri; Soumya K Ghosh Название: Bankruptcy Prediction through Soft Computing based Deep Learning Technique ISBN: 9811066825 ISBN-13(EAN): 9789811066825 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Hyacinth S. Nwana; Nader Azarmi Название: Software Agents and Soft Computing: Towards Enhancing Machine Intelligence ISBN: 3540625607 ISBN-13(EAN): 9783540625605 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Yaochu Jin Название: Multi-Objective Machine Learning ISBN: 3642067964 ISBN-13(EAN): 9783642067969 Издательство: Springer Рейтинг: Цена: 243800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
Автор: Shlomi Dolev; Sachin Lodha Название: Cyber Security Cryptography and Machine Learning ISBN: 3319600796 ISBN-13(EAN): 9783319600796 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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;
Автор: Mark Hoogendoorn; Burkhardt Funk Название: Machine Learning for the Quantified Self ISBN: 3319663070 ISBN-13(EAN): 9783319663074 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Noel Lopes; Bernardete Ribeiro Название: Machine Learning for Adaptive Many-Core Machines - A Practical Approach ISBN: 3319380966 ISBN-13(EAN): 9783319380964 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Supervised Learning.- Unsupervised and Semi-supervised Learning.- Large-Scale Machine Learning.
Автор: Miroslav Kubat Название: An Introduction to Machine Learning ISBN: 3319348868 ISBN-13(EAN): 9783319348865 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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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