Machine Learning and Intelligent Communications, Xiangping Bryce Zhai; Bing Chen; Kun Zhu

Автор: Huang Xin-lin
Название: Machine Learning and Intelligent Communications
ISBN: 3319527290 ISBN-13(EAN): 9783319527291
Издательство: Springer
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Цена: 54040.00 T
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Описание:

Data mining in heterogeneous networks.- decentralized learning for wireless communication systems.- intelligent cooperative/distributed coding, intelligent cooperative networks.- iIntelligent massive MIMO, .- time coded multi-user MIMO system based on three dimensional complementary codes.- intelligent positioning and navigation systems.- intelligent spectrum allocation schemes.- machine learning algorithm &.- cognitive radio networks, machine learning for multimedia.

Автор: Gu
Название: Machine Learning and Intelligent Communications
ISBN: 3319734466 ISBN-13(EAN): 9783319734460
Издательство: Springer
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Цена: 46570.00 T
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Описание: Machine Learning.- Intelligent Positioning and Navigation.- Intelligent Multimedia Processing and Security.- Intelligent Wireless Mobile Network and Security.- Cognitive Radio and Intelligent Networking.- Intelligent Internet of Things.- Intelligent Satellite Communications and Networking.- Intelligent Remote Sensing, Visual Computing and Three-Dimensional Modeling.- Green communication and Intelligent Networking.- Intelligent Ad-hoc and Sensor Networks.- Intelligent Resource Allocation in Wireless and Cloud Networks.- Intelligent Signal Processing in Wireless and Optical Communications.- Intelligent Radar Signal Processing.- Intelligent Cooperative Communications and Networking.

Автор: Gu
Название: Machine Learning and Intelligent Communications
ISBN: 3319735632 ISBN-13(EAN): 9783319735634
Издательство: Springer
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Цена: 46570.00 T
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Описание: Machine Learning.- Intelligent Positioning and Navigation.- Intelligent Multimedia Processing and Security.- Intelligent Wireless Mobile Network and Security.- Cognitive Radio and Intelligent Networking.- Intelligent Internet of Things.- Intelligent Satellite Communications and Networking.- Intelligent Remote Sensing, Visual Computing and Three-Dimensional Modeling.- Green communication and Intelligent Networking.- Intelligent Ad-hoc and Sensor Networks.- Intelligent Resource Allocation in Wireless and Cloud Networks.- Intelligent Signal Processing in Wireless and Optical Communications.- Intelligent Radar Signal Processing.- Intelligent Cooperative Communications and Networking.

Название: Machine learning and intelligent communications
ISBN: 3030005569 ISBN-13(EAN): 9783030005566
Издательство: Springer
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Цена: 46570.00 T
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Описание: This volume constitutes the refereed post-conference proceedings of the Third International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, held in Hangzhou, China, in July 2018.The 66 revised full papers were carefully selected from 102 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, wireless mobile network and security, cognitive radio and intelligent networking, IoT, intelligent satellite communications and networking, green communication and intelligent networking, ad-hoc and sensor networks, resource allocation in wireless and cloud networks, signal processing in wireless and optical communications, and intelligent cooperative communications and networking.

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: 60190.00 T
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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.

Автор: Flach
Название: Machine Learning
ISBN: 1107422221 ISBN-13(EAN): 9781107422223
Издательство: Cambridge Academ
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Цена: 50680.00 T
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Описание: Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.

Автор: Michael Bowles
Название: Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics
ISBN: 1119561930 ISBN-13(EAN): 9781119561934
Издательство: Wiley
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Цена: 40120.00 T
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Описание: Cambridge for DGB 2nd Edition is a four-level American English integrated skills series for the Upper Secondary public school market in Mexico. Its syllabus is strictly aligned to the national Direccion General del Bachillerato program. It is a series that offers teachers a hands-on and practical solution to teaching English in the classroom. It builds students` language skills from A1 to A2+ in the CEFR.

Автор: Watt, Jeremy (northwestern University, Illinois) Borhani, Reza (northwestern University, Illinois) Katsaggelos, Aggelos (northwestern University, Illi
Название: Machine learning refined
ISBN: 1108480721 ISBN-13(EAN): 9781108480727
Издательство: Cambridge Academ
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Цена: 84480.00 T
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Описание: An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, real-world examples, practical coding exercises, and an online package including sample code, data sets, lecture slides, and solutions. It is ideal for graduate courses, reference, and self-study.

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
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Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti
Название: Quantum Machine Learning
ISBN: 311067064X ISBN-13(EAN): 9783110670646
Издательство: Walter de Gruyter
Цена: 136310.00 T
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Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples

Автор: Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
Название: Machine Learning Applications: Emerging Trends
ISBN: 3110608537 ISBN-13(EAN): 9783110608533
Издательство: Walter de Gruyter
Цена: 123910.00 T
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Описание:

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.

Автор: Baochang Zhang
Название: Machine Learning and Visual Perception
ISBN: 3110595532 ISBN-13(EAN): 9783110595536
Издательство: Walter de Gruyter
Цена: 61920.00 T
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Описание:

Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.