Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 6540 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Описание: Picks up where Faludi`s previous book "Backlash" left off. It seeks to understand male behaviour in order to close the chasm between the sexes, and asks why men are so fearful and aggressive in the face of women`s independence An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.
Описание: Spin glasses are magnetic materials. Statistical mechanics, a subfield of physics, has been a powerful tool to theoretically analyse various unique properties of spin glasses. This book provides the reader with a sound introduction to the field and to the analytical techniques necessary to follow its developments.
Описание: Presents topics in the field of document analysis. This book covers: document structure analysis followed by OCR of Japanese, Tibetan and Indian printed scripts; online and offline handwritten text recognition approaches; Japanese postal and Arabic check processing; and biometric and forensic aspects - individuality of handwriting detection.
Автор: Agarwal Название: Statistical Methods for Recommender Systems ISBN: 1107036070 ISBN-13(EAN): 9781107036079 Издательство: Cambridge Academ Рейтинг: Цена: 4162 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.
Автор: Luo Fa-Long Название: Applied Neural Networks for Signal Processing ISBN: 0521644003 ISBN-13(EAN): 9780521644006 Издательство: Cambridge Academ Рейтинг: Цена: 5308 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive introduction to the use of neural networks in signal processing.
Описание: With a continuously increasing desire for natural and comfortable human/machine interaction, the acoustic interface of any terminal for multimedia or telecommunication services is challenged to allow seamless and hands-free audio communication. Sound Capture for Human-Machine Interfaces introduces the practical aspects of microphone array signal processing and presents various combinations of beamforming and acoustic echo cancellation.
Описание: " Intelligent Computing in Signal Processing and Pattern Recognition " constitutes the results of the International Conference on Intelligent Computing, ICIC 2006, held in Kunming, China, in August 2006. The carefully reviewed contributions are included in five volumes of edited books, including one volume of Lecture Notes in Computer Science (LNCS), one volume of Lecture Notes in Artificial Intelligence (LNAI), one volume of Lecture Notes in Bioinformatics (LNBI), and two volumes of Lecture Notes in Control and Information Sciences (LNCIS). The 149 revised full papers of this volume were reviewed and selected from over 3000 submissions, covering the field of Intelligent Computing in Signal Processing and Pattern Recognition, as well as a Special Session on Computing for Searching Strategies to Control Dynamic Processes.
Описание: This comprehensive handbook presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition offers greater prominence to statistical approaches and a broader multilingual scope to include Asian and European languages. It also contains a new applications section that covers many well-known and emerging applications, including machine translation, biomedical text mining, and sentiment analysis. In addition, an actively maintained companion wiki provides online resources, supplementary information, and current developments.
Автор: Bharitkar Название: Immersive Audio Signal Processing ISBN: 0387284532 ISBN-13(EAN): 9780387284538 Издательство: Springer Рейтинг: Цена: 7012 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces the basics of digital signal processing relevant to audio/acoustics and psychoacoustics and a variety of topics and results in immersive audio processing research. This work includes topics such as: immersive audio synthesis and rendering, multichannel room equalization, audio selective signal cancellation, and more.
Описание: Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This book surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing.
Описание: This book presents worldwide outstanding research and recent progress in the applications of neural networks, fuzzy logic, chaos, independent component analysis, etc to fields related to speech recognition enhancement, supervised Fourier demixing noise elimination, acoustic databases, the human hearing system, cancer detection, image processing, and visual communications.
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