Verlag: Cambridge University Press, 2017
ISBN 10: 1108417418 ISBN 13: 9781108417419
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Like New. First Edition. Hardback in new condition, firm and square with sharp corners and strong joints, just showing a small publisher's overstock 'damaged' stamp to the copyright page. Despite such this book has no defects and is in fact in excellent condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework. Now offered for sale at a very reasonable price.
Verlag: Cambridge University Press, 2017
ISBN 10: 1108417418 ISBN 13: 9781108417419
Sprache: Englisch
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108417418 ISBN 13: 9781108417419
Sprache: Englisch
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108417418 ISBN 13: 9781108417419
Sprache: Englisch
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Verlag: Cambridge University Press, 2017
ISBN 10: 1108417418 ISBN 13: 9781108417419
Sprache: Englisch
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Verlag: New York : Sotheby's, 1989, 1989
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Soft cover. Zustand: Fine. No Jacket. 1 v. (unpaged) : ill. ; 27 cm. ; Sale code: 5948 WU BIN/ Place of sale: New York ; OCLC: 171301984 ; color photographic stiff paper wrappers ; prices realized laid in ; features works by Zhao Mengfu, Wu Zhen, Zhao Yong, Yang Weizhen, Shen Zhou, Lu Ji, Zhang Lu, Tang Yin, Zhan Ruoshui, Wen Zhengming, Zhu Yunming, Wang Chong, Xie Shichen, Wen Jia, Qian Gu, Zhou Tianqiu, Wu Bin, Song Moujin, Chen Jiayan, Li Liufang, Zhang Kunlin, Dong Qichang, Chen Jiru, Zhao Zuo, Zhao Zun, Jiang Ai, Li Shida, Shang Maoye, Chen Guan, Wang Weilie, Zhang Ruitu, Huang Daozhou, Ni Yuanhu, Xiao Yuncong, Lan Ying, Zhang Feng, Wang Jian, Wang Shimin, Gu Jianlong, Wang Wu, Zha Shibiao, Gong Xian, Ma Futu, Yun Shouping, Luo Mu, Zu Da (Bada Shanren), Daoji, Chen Yixi, Sun Yi, Yu Zhiding, Wang Yuanqi, Wang Gai, Wang Hui, Ma Quan, Xu Bin, Qing Shengzu ; FINE. Book.
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In den WarenkorbHardcover. Zustand: Brand New. 723 pages. 9.75x7.00x1.75 inches. In Stock.
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In den WarenkorbZustand: New. Prof. Xianda Zhang was a professor at Department of Automation of Tsinghua University. He was one of the first Changjiang Scholars of the Ministry of Education, P.R.C. He has published 120 SCI papers and more th.
Taschenbuch. Zustand: Neu. Neuware - The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science.
Taschenbuch. Zustand: Neu. A Matrix Algebra Approach to Artificial Intelligence | Xian-Da Zhang | Taschenbuch | xxxiv | Englisch | 2021 | Springer Singapore | EAN 9789811527722 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Verlag: Springer Nature Singapore, Springer Nature Singapore Mai 2021, 2021
ISBN 10: 9811527725 ISBN 13: 9789811527722
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 856 pp. Englisch.
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811527725 ISBN 13: 9789811527722
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines, including, but not limited to, computer science, mathematics and engineering.
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811527695 ISBN 13: 9789811527692
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Matrix algebra plays an important role in many core artificial intelligence (AI) areas, including machine learning, neural networks, support vector machines (SVMs) and evolutionary computation. This book offers a comprehensive and in-depth discussion of matrix algebra theory and methods for these four core areas of AI, while also approaching AI from a theoretical matrix algebra perspective.The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines, including, but not limited to, computer science, mathematics and engineering.