Advances in Information Retrieval, Mohand Boughanem; Catherine Berrut; Josiane Mothe;
Автор: Shaoping Ma; Ji-Rong Wen; Yiqun Liu; Zhicheng Dou; Название: Information Retrieval Technology ISBN: 3319480502 ISBN-13(EAN): 9783319480503 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 12th Information Retrieval Societies Conference, AIRS 2016, held in Beijing, China, in November/December 2016. The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 57 submissions.
This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality.
It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules.
Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.
Название: Advances in information retrieval ISBN: 3642122744 ISBN-13(EAN): 9783642122743 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 32nd annual European Conference on Information Retrieval Research, ECIR 2010, held in Milton Keynes, UK, in March 2010. This book includes the papers that are organized in topical sections on NLP and text mining, Web IR, evaluation, multimedia IR, distributed IR and performance issues, and more.
Автор: Leif Azzopardi; Gabriella Kazai; Stephen Robertson Название: Advances in Information Retrieval Theory ISBN: 3642044166 ISBN-13(EAN): 9783642044168 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers are categorized into four main themes: novel IR models, evaluation, efficiency, and new perspectives in IR. Twenty-one papers fall into the general theme of novel IR models, ranging from various retrieval models, query and term selection models, Web IR models, developments in novelty and diversity, to the modeling of user aspects.
Автор: Zbigniew W. Ras; Alicja Wieczorkowska Название: Advances in Music Information Retrieval ISBN: 3642262716 ISBN-13(EAN): 9783642262715 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book collects research performed in music information retrieval domain, and the outcomes, as well as trends in this research. Four sections cover MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval.
Автор: Hang Li; Ting Liu; Wei-Ying Ma; Tetsuya Sakai; Kam Название: Information Retrieval Technology ISBN: 3540686339 ISBN-13(EAN): 9783540686330 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers are organized in topical sections on IR models image retrieval, text classification, chinese language processing, text processing, application of IR, machine learning, taxonomy, IR methods, information extraction, summarization, multimedia, Web IR, and text clustering.
Описание: The internet provides a vast amount of data which can be utilised to explore different approaches to solving industry problems. Efficient methods for the retrieval of this information are essential for streamlined business processes. <em>Information Retrieval Methods for Multidisciplinary Applications</em> provides innovative research on information gathering, web data mining, and automation systems. Addressing multidisciplinary applications and focusing on theories and methods with an enterprise-wide perspective, this book is essential for information engineers, scientists, and related professionals.
Автор: Zbigniew W. Ras; Alicja Wieczorkowska Название: Advances in Music Information Retrieval ISBN: 3642116736 ISBN-13(EAN): 9783642116735 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book collects research performed in music information retrieval domain, and the outcomes, as well as trends in this research. Four sections cover MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval.
Автор: Amihood Amir; Andrew Turpin; Alistair Moffat Название: String Processing and Information Retrieval ISBN: 3540890963 ISBN-13(EAN): 9783540890966 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 15th International Symposium on String Processing and Information Retrieval, SPIRE 2008, held in Melbourne, Australia, in November 2008. This book presents the papers that are organized in topical sections on compression and performance, information retrieval scoring and ranking, and self-indexing.
Автор: Dawei Song; Chin-Yew Lin; Akiko Aizawa; Kazuko Kur Название: Information Retrieval Technology ISBN: 3642047688 ISBN-13(EAN): 9783642047688 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revised full papers and 20 revised poster papers presented were carefully reviewed and selected from 82 submissions.
Автор: Shengli Wu Название: Data Fusion in Information Retrieval ISBN: 3642448011 ISBN-13(EAN): 9783642448010 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a theoretical and empirical approach to data fusion, used in information retrieval in complex, diverse settings such as web and social networks, legal, enterprise and others. Discusses, analyzes and ealuates typical data fusion algorithms.
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