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Death and the Machine, Lyons


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Автор: Lyons
Название:  Death and the Machine
ISBN: 9789811303340
Издательство: Springer
Классификация:




ISBN-10: 9811303347
Обложка/Формат: Hardcover
Страницы: 85
Вес: 0.27 кг.
Дата издания: 2018
Язык: English
Издание: 1st ed. 2018
Иллюстрации: Vii, 85 p.
Размер: 210 x 148 x 6
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Science and Technology Studies
Подзаголовок: Intersections of Mortality and Robotics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This books challenges conventional notions of biological life and death in the area of robotics, discussing issues such as machine consciousness, autonomous AI, and representations of robots in popular culture.


Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

The Meme Machine

Автор: Blackmore
Название: The Meme Machine
ISBN: 019286212X ISBN-13(EAN): 9780192862129
Издательство: Oxford Academ
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Цена: 2216.00 р.
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Описание: Humans have the ability to imitate and copy behaviours, or memes, from one another. This is an investigation of whether genes and memes can lead to discoveries about the nature of the inner self and whether the inner self is only an illusion created by the memes for the sake of replication.

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.

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.

Aristotle`s Laptop

Автор: Aleksander, I.
Название: Aristotle`s Laptop
ISBN: 9814343498 ISBN-13(EAN): 9789814343497
Издательство: World Scientific Publishing
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Цена: 12514.00 р.
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Описание: Would the course of the philosophy of the mind have been different had Aristotle pronounced that the matter of mind was information? This mind is information assertion is often heard in contemporary debates. This book explores the verities and falsehoods of this proposition.

Dynamic Fuzzy Machine Learning

Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao
Название: Dynamic Fuzzy Machine Learning
ISBN: 3110518708 ISBN-13(EAN): 9783110518702
Издательство: Walter de Gruyter
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Цена: 22439.00 р.
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Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.

Toward Deep Neural Networks

Автор: Zhang
Название: Toward Deep Neural Networks
ISBN: 1138387037 ISBN-13(EAN): 9781138387034
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание: This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors` 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.

Modelling Machine Emotions for Realizing Intelligence

Автор: Toyoaki Nishida; Colette Faucher
Название: Modelling Machine Emotions for Realizing Intelligence
ISBN: 3642126030 ISBN-13(EAN): 9783642126031
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This research book presents recent progress in modelling and synthesizing emotional intelligence. It describes major concepts and issues underlying primitive machineries, and discusses how emotional engines might be incorporated into an intelligent system.

Machine Learning and Systems Engineering

Автор: Sio-Iong Ao; Burghard B. Rieger; Mahyar Amouzegar
Название: Machine Learning and Systems Engineering
ISBN: 9400733747 ISBN-13(EAN): 9789400733749
Издательство: Springer
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Цена: 28732.00 р.
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Описание: A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009).

Soft Computing in Machine Learning

Автор: Sang-Yong Rhee; Jooyoung Park; Atsushi Inoue
Название: Soft Computing in Machine Learning
ISBN: 3319055321 ISBN-13(EAN): 9783319055329
Издательство: Springer
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Цена: 23508.00 р.
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Описание: As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning.

Machine Medical Ethics

Автор: Simon Peter van Rysewyk; Matthijs Pontier
Название: Machine Medical Ethics
ISBN: 3319081071 ISBN-13(EAN): 9783319081076
Издательство: Springer
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Цена: 22203.00 р.
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Machine Learning and Data Mining in Pattern Recognition

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319210238 ISBN-13(EAN): 9783319210230
Издательство: Springer
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Цена: 8944.00 р.
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Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.


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