Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 65,13
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
EUR 69,35
Cantidad disponible: 2 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 68,87
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 76,51
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 81,08
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Taylor and Francis Ltd, GB, 2026
ISBN 10: 1041010311 ISBN 13: 9781041010319
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 81,27
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 67,04
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 82,31
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 76,05
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 234 pages. 9.18x6.12x9.21 inches. In Stock.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 69,41
Cantidad disponible: 2 disponibles
Añadir al carritopaperback. Condición: New.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 79,00
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 76,20
Cantidad disponible: 3 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 3 working days.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 77,63
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 86,13
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 85,14
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 9.18x6.12 inches. In Stock.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 83,19
Cantidad disponible: 10 disponibles
Añadir al carritoPF. Condición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 100,30
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
EUR 57,65
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: NEW.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 92,32
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 89,61
Cantidad disponible: 10 disponibles
Añadir al carritoPF. Condición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 106,63
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 90,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2026
ISBN 10: 1041011032 ISBN 13: 9781041011033
Librería: CitiRetail, Stevenage, Reino Unido
EUR 70,07
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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. This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution shift and foundation models. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 105,45
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 246 pages. 9.18x6.12x9.21 inches. In Stock.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 116,86
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 69,86
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. Dr. Min Wu is currently a Principal Scientist at Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. He received his Ph.D. degree in Computer Science from Nanyang Technological University (NTU), .
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 109,50
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031221362 ISBN 13: 9783031221361
Librería: moluna, Greven, Alemania
EUR 74,71
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 125,31
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 127,62
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.