Xiaoli li (83 Ergebnisse)

paperback. Zustand: 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.

Zustand: New.

Paperback. Zustand: Brand New. 306 pages. 8.75x5.75x1.00 inches. In Stock.

Zustand: 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.…

Paperback. Zustand: Brand New. 1st edition. 299 pages. 11.30x8.10x0.70 inches. In Stock.

paperback. Zustand: New. Shipped from the UK within 2 business days of order being placed.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. WILLIAM J. MCSHEA is a wildlife ecologist at the Conservation Biology Institute of Smithsonian s National Zoo. LI SHENG is an assistant professor in the School of Life Sciences, Peking University. SHEN XIAOLI is an associate professor in the Institute of Bo.

Zustand: New.

Paperback. Zustand: Brand New. 151 pages. 9.25x6.10x0.43 inches. In Stock.

Paperback. Zustand: Brand New. 164 pages. 9.25x6.10x0.51 inches. In Stock.

Paperback. Zustand: Brand New. 352 pages. 9.25x6.10x0.80 inches. In Stock.

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 13th International Symposium on Advanced Parallel Processing Technologies, APPT 2019, held in Tianjin, China, in August 2019.The 11 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections named: System Support for Neural Networks; Scheduling and File Systems; Optimization and Parallelization; Security and Algorithms.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes refereed proceedings of theSecond International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format.The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the13th Conference onAdvanced Computer Architecture,ACA 2020, held in Kunming, China, in August2020. Due to the COVID-19 pandemic the conference was held online.The 24 revised full papers presented were carefully reviewed andselected from 105 submissions. The papers of this volume are organized in topical sections on: interconnection network,router and network interface architecture; accelerator-based, application-specific and reconfigurable architecture; processor, memory, and storage systems architecture; model, simulation and evaluation of architecture; new trends of technologies and applications.…

Zustand: NEW.

Zustand: New. pp. 436.

Paperback. Zustand: Brand New. 234 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - 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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