Jianlong Chen (98 results)
Language: English
Published by Springer, 2019
- Softcover
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paperback. Condition: Gut. 505 Seiten; 9783030080075.3 Gewicht in Gramm: 1.
Language: English
Published by Springer 2019-07-04, 2019
- Softcover
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Paperback. Condition: New.
Language: English
Published by Springer, 2019
- Softcover
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Condition: New. In.
Language: English
Published by Springer, 2018
- Hardcover
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Condition: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2018
- Hardcover
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Language: English
Published by Springer, 2018
- Hardcover
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Language: English
Published by Springer, 2018
- Hardcover
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Robust Multimodal Cognitive Load Measurement
Chen, Fang; Zhou, Jianlong; Wang, Yang; Yu, Kun; Arshad, Syed Z.; Khawaji, Ahmad; Conway, Dan
Language: English
Published by Springer, 2016
- Hardcover
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Language: English
Published by Springer, 2018
- Hardcover
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Fine Chinese paintings.
Sotheby's (Firm) [Arnold Chang, Roberta Louckx, Thomas J Sillivan, Robert Geary, Edwin Roman ; art, 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]
Published by New York : Sotheby's, 1989, 1989
- Softcover
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Add to basketSoft cover. Condition: 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.
Language: English
Published by Springer, 2019
- Softcover
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Condition: New. pp. 508.
Language: English
Published by Springer, 2018
- Hardcover
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer, 2018
- Hardcover
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Language: English
Published by Springer 2018-07-02, 2018
- Hardcover
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Hardcover. Condition: New.
Language: English
Published by Springer, 2018
- Hardcover
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Condition: New. In.
Language: English
Published by Springer International Publishing AG, Cham, 2018
- Hardcover
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Hardcover. Condition: new. Hardcover. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of black-box in ML methods, ML still needs to be…interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
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- Hardcover
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Language: English
Published by Springer International Publishing AG, CH, 2018
- Hardcover
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Hardback. Condition: New. 2018 ed. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be i…nterpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Language: English
Published by Springer, 2018
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Palgrave Macmillan, 2019
- Softcover
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 508 | Sprache: Englisch | Produktart: Bücher | With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of th…e nature of ¿black-box¿ in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Language: English
Published by Springer, 2018
- Hardcover
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Language: English
Published by Springer, 2018
- Hardcover
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer International Publishing Jun 2018, 2018
- Hardcover
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Buch. Condition: Neu. Neuware -With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of 'black-box' in ML methods, ML still needs to be inter…preted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction. 508 pp. Englisch.
Language: English
Published by Springer International Publishing AG, CH, 2018
- Hardcover
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Hardback. Condition: New. 2018 ed. With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be i…nterpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2019
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of 'b…lack-box' in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.
More imagesLanguage: English
Published by Springer, 2019
- Softcover
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Taschenbuch. Condition: Neu. Human and Machine Learning | Visible, Explainable, Trustworthy and Transparent | Jianlong Zhou (u. a.) | Taschenbuch | Human-Computer Interaction Series | xxiii | Englisch | 2019 | Springer | EAN 9783030080075 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelb…erg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2018
- Hardcover
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- Softcover
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- Hardcover
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