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Classical Chinese Gardens
Seller: BIBLIOPE by Calvello Books, Oakland, CA, U.S.A.
Seller rating 4 out of 5 stars
First Edition
Hardcover. Condition: Near Fine(-). First English language edition. Folio in red DJ, 240 pages, color illustrations, plans, 32 cm. Contents: The art of traditional Chinese gardens -- Imperial gardens: Bei Hai Park -- Summer Palace -- Imperial Summer Resort -- Magnificent Clear Lake -- Private gardens: Ke Garden (Beijing) -- Liu Yong's Garden -- Zhan Garden -- Ge Garden -- Ji Chang Garden -- Zhuo Zheng Garden -- Liu Garden -- Wang Shi Garden -- Lion Grove Garden -- Garden of the Surging Wave Pavilion -- Pleasure Garden -- Crane Garden -- Lotus-Root Garden -- Yu Garden -- Qing Hui Garden -- Ke Garden (Dongguan) -- Yu Yin Villa -- Natural scenic parks and temple gardens: Tan Zhe Temple -- Great Awakening Temple -- Great Brightness Lake -- Jumping Splashing Spring -- Thousand Buddha Hill -- Mochou Lake -- Slender West Lake -- Level Mount Hall -- Golden Mount Temple -- West Lake -- East Lake -- Thatched Hut of Du Fu -- Memorial Temple of Jin -- Wu Hou Memorial Hall -- Five Spring Mountain -- Norbu Lingka. Gardens, Chinese -- Pictorial works. Extremely mild rubbing to spine foot and head, light soiling to fore-edges, exceedingly gentle rubbing to corners, bright pages in tight binding, sunned DJ spine, light ripples to rear DJ, else Near Fiine(+) in Near Fine(-) DJ. in near fine dust-jacket.
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Soft cover. Condition: Good. Softcover, 9 3/4 by 10 1/4 inches, not paginated, between 1/4 and 1/2 inch thick. Many color photos. Text apparently complete, in Chinese and English. Covers have only very slight wear and the pages are clean.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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AI for Time Series
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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US$ 64.58
US$ 20.46 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPF. Condition: New.
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Deep Learning for Human Activity Recognition: Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, ... in Computer and Information Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.10
US$ 15.82 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Deep Learning for Human Activity Recognition : Second International Workshop, Dl-har 2020, Held in Conjunction With Ijcai-pricai 2020, Kyoto, Japan, January 8, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.96
US$ 19.81 shipping
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AI for Time Series
Language: English
Published by Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
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 advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of 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 Time-LLM, which are designed to offer universal forecasting capabilities across diverse time series tasks.The book can be used as 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, and climate.
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Ai for Time Series : Unlocking Patterns With Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 71.73
US$ 19.81 shipping
Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: New.
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Deep Learning For Human Activity Recogni
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Deep Learning for Human Activity Recognition : Second International Workshop, Dl-har 2020, Held in Conjunction With Ijcai-pricai 2020, Kyoto, Japan, January 8, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 75.83
US$ 19.81 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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AI for Time Series
Language: English
Published by Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
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 advanced algorithms that are transforming time series analysis across industries. The authors highlight the use of 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 Time-LLM, which are designed to offer universal forecasting capabilities across diverse time series tasks.The book can be used as 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, and climate.
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US$ 78.13
US$ 20.46 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketpaperback. Condition: New.
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Deep Learning for Human Activity Recognition: Second International Workshop, Dl-har 2020, Held in Conjunction With Ijcai-pricai 2020, Kyoto, Japan, January 8, 2021, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811605742 ISBN 13: 9789811605741
US$ 88.47
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Add to basketPaperback. Condition: Brand New. 151 pages. 9.25x6.10x0.43 inches. In Stock.
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Ai for Time Series : Unlocking Patterns With Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 82.13
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Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New.
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US$ 95.84
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Add to basketPaperback. Condition: Brand New. 9.18x6.12 inches. In Stock.
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Generalization With Deep Learning : For Improvement on Sensing Capability
Language: English
Published by World Scientific Pub Co Inc, 2021
ISBN 10: 9811218838 ISBN 13: 9789811218835
Condition: As New. Unread book in perfect condition.
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AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 102.01
US$ 21.14 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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US$ 71.74
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Add to basketCondition: NEW.
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US$ 120.14
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Add to basketPaperback. Condition: Brand New. 246 pages. 9.18x6.12x9.21 inches. In Stock.
