Jie liu (Más de 6600 resultados)

Condición: As New. Like New condition. A near perfect copy that may have very minor cosmetic defects.

Hardcover. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

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

Condición: New.

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

Condición: New. 1 edition NO-PA16APR2015-KAP.

Condición: New.

Condición: As New. Unread book in perfect condition.

paperback. Condición: Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Condición: New.

Audio Cassette. Condición: Good. Satisfaction 100% guaranteed.

paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 304 pages. 9.00x6.00x0.75 inches. In Stock.

Condición: New.

Paperback. Condición: New. Graphs are useful data structures in complex real-life applications such as modeling physical systems, learning molecular fingerprints, controlling traffic networks, and recommending friends in social networks. However, these tasks require dealing with non-Euclidean graph data that contains rich relational information between elements and cannot be well handled by traditional deep learning models (e.g., convolutional neural networks (CNNs) or recurrent neural networks (RNNs)). Nodes in graphs usually contain useful feature information that cannot be well addressed in most unsupervised representation learning methods (e.g., network embedding methods). Graph neural networks (GNNs) are proposed to combine the feature information and the graph structure to learn better representations on graphs via feature propagation and aggregation. Due to its convincing performance and high interpretability, GNN has recently become a widely applied graph analysis tool.This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks. Variants for different graph types and advanced training methods are also included. As for the applications of GNNs, the book categorizes them into structural, non-structural, and other scenarios, and then it introduces several typical models on solving these tasks. Finally, the closing chapters provide GNN open resources and the outlook of several future directions.…

Softcover. Condición: Bon. Légères traces d'usure sur la couverture. Pages cornées. Tampon ou marque sur la face intérieure de la couverture. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Slight signs of wear on the cover. Dog-eared pages. Stamp or mark on the inside cover page. Ammareal gives back up to 15% of this item's net price to charity organizations.…

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

Paperback. Condición: Very Good. Short 4to. Chinese and English text. Illustrated with color prints. Minor shelfwear. Tightly bound, no marks. Volume is in Very Good condition.

1st edition. 8vo. [xiv] + 472pp. + adverts. Original boards. Pictorial beige d/w. with black lettering to slightly faded spine. ISBN 9780674062566 US$22.

Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

1st ed. 2018. 16 x 24 cm. XVI, 518 S. XVI, 518 p. 296 illus., 214 illus. in color. Softcover (Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science). Sprache: Englisch.

IX, 190 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Paperback. Condición: new. Paperback. This book is at once a guided introduction to Chinese nonfictional prose and an innovative textbook for the study of classical Chinese. It is a companion volume to How to Read Chinese Prose: A Guided Anthology, designed for Chinese-language learners.How to Read Chinese Prose in Chinese presents more than forty prose works, either excerpts or in full, from antiquity through the Qing dynasty. While teaching readers how to appreciate the rich tradition of Chinese prose in its original form, the book uses these texts to introduce classical Chinese to advanced learners, helping them develop reading comprehension and vocabulary. It offers a systematic guide to classical Chinese grammar and abundant notes on vocabulary, and features an extensive network of notes, exercises, and cross-references. The book includes modern translations of the forty prose works in simplified Chinese, presented alongside the original texts in traditional Chinese. It also includes expert commentaries on each text's distinctive aesthetic qualities as well as historical and cultural contexts.The book comprises thirty-eight lessons within eight units, organized chronologically to reflect the emergence of major prose genres. It is a major contribution to the teaching and study of classical Chinese language and literature.Audio recordings of all forty texts are available online free of charge. This book is at once a guided introduction to Chinese nonfictional prose and an innovative textbook for the study of classical Chinese. It is a companion volume to How to Read Chinese Prose: A Guided Anthology, designed for Chinese-language learners. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New.

Paperback or Softback. Condición: New. How to Read Chinese Prose in Chinese: A Course in Classical Chinese. Book.

Condición: New.

1st edition 2018. 23.5 cm x 15.5 cm, 688 g. XV, 434 Seiten 124 Illustrationen, 187 Illustrationen. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Lecture Notes in Computer Science; Vol 11259. Sprache: Englisch. …

Condición: New. In English.

Softcover. Condición: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-03600 9783319950396 Sprache: Englisch Gewicht in Gramm: 550.