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Advanced Machine Learning Technologies and Applications, Aboul Ella Hassanien; Mohamed Tolba; Ahmad Taher A


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Автор: Aboul Ella Hassanien; Mohamed Tolba; Ahmad Taher A
Название:  Advanced Machine Learning Technologies and Applications
ISBN: 9783319134604
Издательство: Springer
Классификация:


ISBN-10: 3319134604
Обложка/Формат: Paperback
Страницы: 542
Вес: 0.78 кг.
Дата издания: 07.11.2014
Серия: Communications in Computer and Information Science
Язык: English
Размер: 234 x 156 x 29
Основная тема: Computer Science
Подзаголовок: Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. machine learning in watermarking/authentication and virtual machines;


Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: MIT Press
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Цена: 18622.00 р.
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Описание:

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Advanced Web and Network Technologies, and Applications

Автор: Yoshiharu Ishikawa; Jing He; Guandong Xu; Yong Shi
Название: Advanced Web and Network Technologies, and Applications
ISBN: 354089375X ISBN-13(EAN): 9783540893752
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the thoroughly refereed joint post-workshop proceedings of three international workshops held in conjunction with the 10th Asia-Pacific Web Conference, APWeb 2008, in Shenyang, China, in April 2008. The papers focus on issues such as Web searching, Web services, database, data mining, bioinformatics, and business intelligence.

Knowledge Engineering, Machine Learning and Lattice Computing with Applications

Автор: Manuel Grana; Carlos Toro; Robert J. Howlett; Lakh
Название: Knowledge Engineering, Machine Learning and Lattice Computing with Applications
ISBN: 3642373429 ISBN-13(EAN): 9783642373428
Издательство: Springer
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Цена: 6429.00 р.
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Описание: This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012.

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.

Web Technologies and Applications

Автор: Morishima
Название: Web Technologies and Applications
ISBN: 3319458345 ISBN-13(EAN): 9783319458342
Издательство: Springer
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Цена: 8106.00 р.
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Описание:

Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing.- A Multi-Model Based Approach for Big Data Analytics: the Case on Education Grant Distribution.- Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog.- EMD-DSJoin: Efficient Similarity Join over Probabilistic Data Streams Based on Earth Mover's Distance.- Sentiment Analysis on User Reviews through Lexicon and Rule-based Approach.- Social Link Prediction Based on the Nodes' Information Transfer.- An Improved ML-kNN Approach Based on Coupled Similarity.- A Novel Recommendation Method Based on User's Interest and Heterogeneous Information.- Knee point-driven bottleneck detection algorithm for cloud service system.- Confirmatory Analysis on Influencing Factors When Mention Users in Twitter.- A stock recommendation strategy based on M-LDA model.- Short-term Forecasting and Application about Indoor Cooling Load Based on EDA-PSO-BP Algorithm.- Identifying Relevant Subgraphs in Large networks.- User-dependent Multi-relational Community Detection in Social Networks.- Compressing Streaming Graph Data Based on Triangulation.- Scene Classification in High Resolution Remotely Sensed Images based on PCANet.- Finding Top-k Places for Group Social Activities.- Temporal Spatial-Keyword Search On Databases Using SQL.- Features of Rumor Spreading on WeChat Moments.- Distance-Based Continuous Skylines On Geo-Textual Data.- Improving Urban Traffic Evacuation Capability in Emergency Response by Using Smart Phones.- Context Enhanced Keyword Extraction for Sparse Geo-entity Relation from Web Texts.- A Stacked Generalization Framework for City Traffic Related Geospatial Data Analysis.- Detection of Statistically Significant Bus Delay Aggregation by Spatial-Temporal Scanning.- Acquisition and Representation of Knowledge for Academic Field.- Using Learning Features to Find Similar Trajectories.- An Algorithm for Mining Moving Flock Patterns from Pedestrian Trajectories.

Big Data Management, Technologies, And Applications

Автор: Hu & Kaabouch
Название: Big Data Management, Technologies, And Applications
ISBN: 1466646993 ISBN-13(EAN): 9781466646995
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size.Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.

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.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: MIT Press
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Цена: 13543.00 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

Machine Learning and Its Applications

Автор: Georgios Paliouras; Vangelis Karkaletsis; Constant
Название: Machine Learning and Its Applications
ISBN: 3540424903 ISBN-13(EAN): 9783540424901
Издательство: Springer
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Цена: 7400.00 р.
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Описание: Examining the capabilities of machine learning methods and ideas on how they apply to real-world problems, this text assesses machine learning, then introduces applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, and user modelling.

Web Technologies and Applications

Автор: Li
Название: Web Technologies and Applications
ISBN: 3319458167 ISBN-13(EAN): 9783319458168
Издательство: Springer
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Цена: 11460.00 р.
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Описание: This LNCS double volume LNCS 9931-9932 constitutes the refereed proceedings of the 18th Asia-Pacific Conference APWeb 2016 held in Suzhou, China, in September 2016. The 79 full papers and presented together with 24 short papers and 17 demo papers were carefully reviewed and selected from 215 submissions.the focus of the conference was on following subjects: Spatio-temporal, Textual and Multimedia Data Management Social Media Data Analysis Modelling and Learning with Big Data Streaming and Real-time Data Analysis Recommendation System Data Quality and Privacy Query Optimization and Scalable Data Processing

Agent and Multi-Agent Systems: Technologies and Applications

Автор: Anne Hakansson; Ronald Hartung
Название: Agent and Multi-Agent Systems: Technologies and Applications
ISBN: 3642016642 ISBN-13(EAN): 9783642016646
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Third KES International Symposium KESAMSTA 2009 Uppsala Sweden June 35 2009 Proceedings. .

Web Technologies and Applications

Автор: Reynold Cheng; Bin Cui; Zhenjie Zhang; Ruichu Cai;
Название: Web Technologies and Applications
ISBN: 3319252542 ISBN-13(EAN): 9783319252544
Издательство: Springer
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Цена: 13416.00 р.
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Описание: This book constitutes the refereed proceedings of the 17th Asia-Pacific Conference APWeb 2015 held in Guangzhou, China, in September 2015. The 67 full papers and presented together with 3 industrial track papers and 7 demonstration track papers were carefully reviewed and selected from 146 submissions.


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