Автор: Stone, James V Название: Information theory: a tutorial introduction ISBN: 0956372856 ISBN-13(EAN): 9780956372857 Издательство: Неизвестно Цена: 36330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Gathers together fresh voices sharing their inspiring work in farming, government, voyaging, water rights, archaeology, gender advocacy, education, business, community health, art, immigration, and more to enhance the present and future value of Hawai`i. By exploring connections to ancestors and others across our Pacific world, the contributors to this volume offer passionate and poignant visions.
Автор: Manning, Christopher D. Raghavan, Prabhakar Schutz Название: Introduction to information retrieval ISBN: 0521865719 ISBN-13(EAN): 9780521865715 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers.
Автор: Miroslav Kubat Название: An Introduction to Machine Learning ISBN: 3319348868 ISBN-13(EAN): 9783319348865 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Johnson, Jr. Название: Introduction to Information Theory and Data Compression, Second Edition ISBN: 1584883138 ISBN-13(EAN): 9781584883135 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents the fundamentals of information theory and data compression. This book discusses the historical and theoretical basis of information theory. It also covers algorithm(s) of Gallager and Knuth. It discusses the information rate of a code and the trade-off between error correction and information rate.
Автор: J?nos A. Bergou; Mark Hillery Название: Introduction to the Theory of Quantum Information Processing ISBN: 1489998438 ISBN-13(EAN): 9781489998439 Издательство: Springer Рейтинг: Цена: 56580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This course-tested book offers a consistent approach to the field, based on underlying fundamental principles of quantum theory, such as quantum measurements, no-cloning and no-signaling theorems and their consequences. Includes problems of varying difficulty.
Автор: Massimo Melucci Название: Introduction to Information Retrieval and Quantum Mechanics ISBN: 3662483122 ISBN-13(EAN): 9783662483121 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems.
Автор: Stone James V. Название: Information Theory: A Tutorial Introduction ISBN: 099336795X ISBN-13(EAN): 9780993367953 Издательство: Неизвестно Цена: 107290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The die is cast when the malefic King Ajutu realizes that he has been betrayed thrice over on Nkem`s account. With Nkem, Odera, and Namdi deeming they are no longer within easy striking distance of the king, the king charges his goons with the task of silencing them for good. When Nkem, Odera, and Namdi come to terms with what they`re up against, they form a frantic alliance with the king`s twin, Prince Ikuku, and unwittingly the estranged Queen Nena. As they also enlist the help of the Children of the Shadows, will King Ajutu, along with his gentry, become too hot to handle, or will he and his camarilla meet more than their match in the ever-growing alliance? In Children of the Shadows: Firmness of Purpose, the fight for justice and peace, and for the innocent child victims of the supposedly banned Mkpataku ritual reaches boiling point.
Автор: Zhai Chengxiang, Massung Sean Название: Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining ISBN: 1970001194 ISBN-13(EAN): 9781970001198 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 103210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic.This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Автор: Zhai Chengxiang, Massung Sean Название: Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining ISBN: 197000116X ISBN-13(EAN): 9781970001167 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 85730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic.This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.
Автор: G. G. Chowdhury Название: Introduction to Modern Information Retrieval ISBN: 1783303220 ISBN-13(EAN): 9781783303229 Издательство: Facet Рейтинг: Цена: 183040.00 T Наличие на складе: Невозможна поставка. Описание: It is this book`s contention that it benefits professional to learn the theory, techniques and tools that constitute the traditional approaches to the organization and processing of information. The fully revised third edition of this highly regarded textbook has been thoroughly updated to incorporate major changes in this rapidly expanding field.
Автор: David Bawden, Lyn Robinson Название: Introduction to Information Science ISBN: 1783303212 ISBN-13(EAN): 9781783303212 Издательство: Facet Рейтинг: Цена: 154810.00 T Наличие на складе: Невозможна поставка. Описание:
This landmark textbook takes a whole subject approach to Information Science as a discipline. Introduced by leading international scholars and offering a global perspective on the discipline, this is designed to be the standard text for students worldwide. The authors’ expert narrative guides you through each of the essential building blocks of information science offering a concise introduction and expertly chosen further reading and resources. Critical topics covered include:
foundations: concepts, theories and historical perspectives
organising and retrieving Information
information behaviour, domain analysis and digital literacies
technologies, digital libraries and information management
information research methods and informetrics
changing contexts: information society, publishing, e-science and digital humanities
the future of the discipline.
Readership: Students of information science, information and knowledge management, librarianship, archives and records management worldwide. Students of other information-related disciplines such as museum studies, publishing, and information systems and practitioners in all of these disciplines.
This book is about the definition of the Shannon measure of Information, and some derived quantities such as conditional information and mutual information. Unlike many books, which refer to the Shannon's Measure of information (SMI) as "Entropy," this book makes a clear distinction between the SMI and Entropy.
In the last chapter, Entropy is derived as a special case of SMI.
Ample examples are provided which help the reader in understanding the different concepts discussed in this book. As with previous books by the author, this book aims at a clear and mystery-free presentation of the central concept in Information theory -- the Shannon's Measure of Information.
This book presents the fundamental concepts of Information theory in a friendly-simple language and is devoid of all kinds of fancy and pompous statements made by authors of popular science books who write on this subject. It is unique in its presentation of Shannon's measure of information, and the clear distinction between this concept and the thermodynamic entropy.
Although some mathematical knowledge is required by the reader, the emphasis is on the concepts and their meaning rather on the mathematical details of the theory.
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