Chen Xiaoli (99 results)
More images- Hardcover
- First Edition
Seller: BIBLIOPE by Calvello Books, Oakland, CA, U.S.A.BIBLIOPE by Calvello Books
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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.
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
Li, Xiaoli (EDT); Wu, Min (EDT); Chen, Zhenghua (EDT); Zhang, Le (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: New.
- Softcover
Seller: Collectors Cabinet, Teaneck, NJ, U.S.A.Collectors Cabinet
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US$ 26.00
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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.
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
Li, Xiaoli (EDT); Wu, Min (EDT); Chen, Zhenghua (EDT); Zhang, Le (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
Ai for Time Series : Unlocking Patterns With Deep Learning
Wu, Min (EDT); Eldele, Emadeldeen (EDT); Chen, Zhenghua (EDT); Pan, Shirui (EDT); Wen, Qingsong (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Condition: New.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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PF. Condition: New.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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US$ 84.88
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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 indus…tries. 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.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 76.45
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Condition: New.
- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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US$ 83.63
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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
Li, Xiaoli (EDT); Wu, Min (EDT); Chen, Zhenghua (EDT); Zhang, Le (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 69.35
US$ 20.22 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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US$ 87.48
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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 indus…tries. 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.
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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US$ 71.36
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paperback. Condition: New.
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Condition: New.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New.
Ai for Time Series : Unlocking Patterns With Deep Learning
Wu, Min (EDT); Eldele, Emadeldeen (EDT); Chen, Zhenghua (EDT); Pan, Shirui (EDT); Wen, Qingsong (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 89.32
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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US$ 81.01
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Condition: New.
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
Li, Xiaoli (EDT); Wu, Min (EDT); Chen, Zhenghua (EDT); Zhang, Le (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 75.74
US$ 20.22 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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US$ 95.27
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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 advanced algorithms that are transforming time series analysis across ind…ustries. 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.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 87.36
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Paperback. Condition: Brand New. 234 pages. 9.18x6.12x9.21 inches. In Stock.
Ai for Time Series : Unlocking Patterns With Deep Learning
Wu, Min (EDT); Eldele, Emadeldeen (EDT); Chen, Zhenghua (EDT); Pan, Shirui (EDT); Wen, Qingsong (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
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
Li, Xiaoli (Editor)/ Wu, Min (Editor)/ Chen, Zhenghua (Editor)/ Zhang, Le (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 88.56
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Paperback. Condition: Brand New. 151 pages. 9.25x6.10x0.43 inches. In Stock.
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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US$ 83.96
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paperback. Condition: New.
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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US$ 93.13
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Condition: New.
- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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US$ 87.54
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Paperback / softback. Condition: New. New copy - Usually dispatched within 3 working days.
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condition: New.
Ai for Time Series : Unlocking Patterns With Deep Learning
Wu, Min (EDT); Eldele, Emadeldeen (EDT); Chen, Zhenghua (EDT); Pan, Shirui (EDT); Wen, Qingsong (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 93.37
US$ 20.22 shippingShips from United Kingdom to U.S.A.Quantity: 10 available
Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 112.48
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Condition: As New. Unread book in perfect condition.
