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Machine Learning in Cyber Trust, Jeffrey J. P. Tsai; Philip S. Yu


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Автор: Jeffrey J. P. Tsai; Philip S. Yu
Название:  Machine Learning in Cyber Trust
ISBN: 9781441946980
Издательство: Springer
Классификация:



ISBN-10: 1441946985
Обложка/Формат: Paperback
Страницы: 362
Вес: 0.53 кг.
Дата издания: 05.11.2010
Язык: English
Размер: 234 x 156 x 20
Основная тема: Computer Science
Подзаголовок: Security, Privacy, and Reliability
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In cyber-based systems, tasks can be formulated as learning problems and approached as machine-learning algorithms. This book covers applications of machine-learning methods in reliability, security, performance and privacy issues in cyber space.


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.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Machine Learning for Cyber Physical Systems

Автор: J?rgen Beyerer; Oliver Niggemann; Christian K?hner
Название: Machine Learning for Cyber Physical Systems
ISBN: 3662538059 ISBN-13(EAN): 9783662538050
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

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;

Advances in Machine Learning and Cybernetics

Автор: Daniel S. Yeung; Zhi-Qiang Liu; Xi-Zhao Wang; Hong
Название: Advances in Machine Learning and Cybernetics
ISBN: 3540335846 ISBN-13(EAN): 9783540335849
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, held in Guangzhou, China in August 2005.

Machine Learning Techniques for Multimedia

Автор: Matthieu Cord; P?draig Cunningham
Название: Machine Learning Techniques for Multimedia
ISBN: 3642443621 ISBN-13(EAN): 9783642443626
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it.

Machine Learning for Multimodal Interaction

Автор: Andrei Popescu-Belis; Rainer Stiefelhagen
Название: Machine Learning for Multimodal Interaction
ISBN: 3540858520 ISBN-13(EAN): 9783540858522
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. This title features papers that cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction.

Multi-Objective Machine Learning

Автор: Yaochu Jin
Название: Multi-Objective Machine Learning
ISBN: 3642067964 ISBN-13(EAN): 9783642067969
Издательство: Springer
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Цена: 36570.00 р.
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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.

Advances in Machine Learning

Автор: Zhi-Hua Zhou; Takashi Washio
Название: Advances in Machine Learning
ISBN: 3642052231 ISBN-13(EAN): 9783642052231
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews.

Principles and Theory for Data Mining and Machine Learning

Автор: Bertrand Clarke; Ernest Fokoue; Hao Helen Zhang
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 1461417074 ISBN-13(EAN): 9781461417071
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.

Machine Learning and Data Mining in Pattern Recognition

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3642030696 ISBN-13(EAN): 9783642030697
Издательство: Springer
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Цена: 18167.00 р.
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Описание: 6th International Conference MLDM 2009 Leipzig Germany July 2325 2009 Proceedings. .

Innovations in Machine Learning

Автор: Dawn E. Holmes
Название: Innovations in Machine Learning
ISBN: 3642067883 ISBN-13(EAN): 9783642067884
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Machine learning is currently one of the most rapidly growing areas of research in computer science. symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences.


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