Language: English
Published by Smithsonian Institution Scholarl, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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paperback. Condition: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.
Language: English
Published by World Scientific Pub Co Inc, 2014
ISBN 10: 9814551007 ISBN 13: 9789814551007
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hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Beijing Language and Culture University Press, 2008
ISBN 10: 7561922531 ISBN 13: 9787561922538
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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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Condition: New. pp. 312 Illustrated edition NO-PA16APR2015-KAP.
Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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Language: English
Published by Smithsonian Institution Scholarl, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
Seller: Pearlydewdrops, Streat, United Kingdom
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Add to basketpaperback. Condition: Fine. New & unread, however may have light shelf wear to cover face, edges or corners. Shipped from the UK within 2 business days of order being placed.
Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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Condition: New. pp. 312.
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Add to basketPaperback. Condition: Brand New. 306 pages. 8.75x5.75x1.00 inches. In Stock.
Language: English
Published by Smithsonian Institution Scholarly Press, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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Language: English
Published by World Scientific Pub Co Inc, 2013
ISBN 10: 9814551007 ISBN 13: 9789814551007
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Language: English
Published by Smithsonian Institution Scholarl, 2018
ISBN 10: 1944466134 ISBN 13: 9781944466138
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Add to basketpaperback. Condition: New. Shipped from the UK within 2 business days of order being placed.
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Language: English
Published by Beijing Language & Culture University Press,China, 2008
ISBN 10: 7561922531 ISBN 13: 9787561922538
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 1st edition. 299 pages. 11.30x8.10x0.70 inches. In Stock.
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Language: English
Published by Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041011032 ISBN 13: 9781041011033
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Paperback. Condition: New. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. It offers an in-depth look at cutting-edge techniques and methodologies, using advance algorithms that are transforming time series analysis across industries. The authors highlight the use AI models, particularly those based on deep learning, to study the sequence of data points collected at successive points in time. In the study of the use of AI for general time series analysis, readers are introduced to a recent important model like TimesNet, which has set new benchmarks for general time series analysis.TimesNet is a cutting-edge model for time series analysis, which transforms one-dimensional time series data into two-dimensional space to better capture temporal variations. This approach allows TimesNet to excel in various tasks such as short- and long-term forecasting, imputation, classification, and anomaly detection. The authors also discuss distribution shift in time series, with an important coverage on the use of AdaTime. This is a benchmarking suite for domain adaptation which addresses distribution shifts in time series data through unsupervised domain adaptation (UDA) In the last section, a significant focus is placed on the emergence of time series foundation models, particularly for forecasting. The book explores pioneering models like MOIRAI and Time-LLM, which are designed to offer universal forecasting capabilities across diverse time series tasks.The book can be used as a supplementary reading for graduate students taking advanced topics/seminars on advanced deep learning and foundation models. It is also a useful reference for researchers and engineers working on time-series applications in finance, healthcare, energy, climate.
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Language: English
Published by World Scientific Pub Co Inc, 2014
ISBN 10: 9814551007 ISBN 13: 9789814551007
Seller: BOOKWEST, Phoenix, AZ, U.S.A.
First Edition
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