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Data Analysis, Machine Learning and Applications, Christine Preisach; Hans Burkhardt; Lars Schmidt-T


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Автор: Christine Preisach; Hans Burkhardt; Lars Schmidt-T
Название:  Data Analysis, Machine Learning and Applications
ISBN: 9783540782391
Издательство: Springer
Классификация:
ISBN-10: 3540782397
Обложка/Формат: Paperback
Страницы: 719
Вес: 1.09 кг.
Дата издания: 29.04.2008
Серия: Studies in Classification, Data Analysis, and Knowledge Organization
Язык: English
Размер: 234 x 155 x 41
Основная тема: Computer Science
Подзаголовок: Proceedings of the 31st Annual Conference of the Gesellschaft f?r Klassifikation e.V., Albert-Ludwigs-Universit?t Freiburg, March 7-9, 2007
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Contains the selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation - GfKl), which was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.


Signal Processing and Machine Learning with Applications

Автор: Michael M. Richter; Sheuli Paul
Название: Signal Processing and Machine Learning with Applications
ISBN: 3319453718 ISBN-13(EAN): 9783319453712
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engaged with signal processing, machine learning and the applications.

Ensembles in Machine Learning Applications

Автор: Oleg Okun; Giorgio Valentini; Matteo Re
Название: Ensembles in Machine Learning Applications
ISBN: 3662507064 ISBN-13(EAN): 9783662507063
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book collects papers from the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA), held as part of the 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

Machine Learning Methods for Ecological Applications

Автор: Alan H. Fielding
Название: Machine Learning Methods for Ecological Applications
ISBN: 1461374138 ISBN-13(EAN): 9781461374138
Издательство: Springer
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Цена: 22203.00 р.
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Описание: This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.

Intelligent Data Analysis and Applications

Автор: Pan
Название: Intelligent Data Analysis and Applications
ISBN: 3319484982 ISBN-13(EAN): 9783319484983
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI).The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

E-Learning Paradigms and Applications

Автор: Mirjana Ivanovi?; Lakhmi C. Jain
Название: E-Learning Paradigms and Applications
ISBN: 364241964X ISBN-13(EAN): 9783642419645
Издательство: Springer
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Цена: 19591.00 р.
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Описание: This book presents the state-of-the-art of e-learning and tutoring systems, and discusses their capabilities and benefits that stem from integrating software agents. It includes various case studies to validate the usefulness of the presented paradigms.

New Topics in Learning Automata Theory and Applications

Автор: Norio Baba
Название: New Topics in Learning Automata Theory and Applications
ISBN: 3540156135 ISBN-13(EAN): 9783540156130
Издательство: Springer
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Цена: 12157.00 р.
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Advanced Machine Learning Technologies and Applications

Автор: Aboul Ella Hassanien; Abdel-Badeeh M. Salem; Rabie
Название: Advanced Machine Learning Technologies and Applications
ISBN: 3642353258 ISBN-13(EAN): 9783642353253
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the First International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2012, held in Cairo, Egypt, in December 2012.

Deep Learning and Data Labeling for Medical Applications

Автор: Carneiro
Название: Deep Learning and Data Labeling for Medical Applications
ISBN: 3319469754 ISBN-13(EAN): 9783319469751
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.

The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.
Intelligent Data analysis and its Applications, Volume II

Автор: Jeng-Shyang Pan; Vaclav Snasel; Emilio S. Corchado
Название: Intelligent Data analysis and its Applications, Volume II
ISBN: 3319077724 ISBN-13(EAN): 9783319077727
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014.

Intelligent Data analysis and its Applications, Volume I

Автор: Jeng-Shyang Pan; Vaclav Snasel; Emilio S. Corchado
Название: Intelligent Data analysis and its Applications, Volume I
ISBN: 3319077759 ISBN-13(EAN): 9783319077758
Издательство: Springer
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Цена: 32142.00 р.
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Описание: This volume presents the proceedings of the First Euro-China Conference on Intelligent Data Analysis and Applications (ECC 2014), which was hosted by Shenzhen Graduate School of Harbin Institute of Technology and was held in Shenzhen City on June 13-15, 2014.

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Автор: Mohammad Moshirpour; Behrouz Far; Reda Alhajj
Название: Highlighting the Importance of Big Data Management and Analysis for Various Applications
ISBN: 3319602543 ISBN-13(EAN): 9783319602547
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business.

Time series analysis methods and applications for flight data

Автор: Zhang, Jianye Zhang, Peng
Название: Time series analysis methods and applications for flight data
ISBN: 3662534282 ISBN-13(EAN): 9783662534281
Издательство: Springer
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Цена: 19564.00 р.
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Описание: As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc.


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