Daoqiang Zhang | Akateeminen Kirjakauppa

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INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING – IDEAL 2016 - 17TH INTERNATIONAL CONFERENCE, YANGZHOU, CHINA, OCTOBER 12–14

Hujun Yin; Yang Gao; Bin Li; Daoqiang Zhang; Ming Yang; Yun Li; Frank Klawonn; Antonio J. Tallón-Ballesteros
Springer International Publishing AG (2016)
Pehmeäkantinen kirja

51,40 €

GRAPH LEARNING IN MEDICAL IMAGING - FIRST INTERNATIONAL WORKSHOP, GLMI 2019, HELD IN CONJUNCTION WITH MICCAI 2019, SHENZHEN, CHI

Daoqiang Zhang; Luping Zhou; Biao Jie; Mingxia Liu
Springer Nature Switzerland AG (2019)
Pehmeäkantinen kirja

51,40 €

MACHINE LEARNING IN MEDICAL IMAGING - 4TH INTERNATIONAL WORKSHOP, MLMI 2013, HELD IN CONJUNCTION WITH MICCAI 2013, NAGOYA, JAPAN

Guorong Wu; Daoqiang Zhang; Dinggang Shen; Pingkun Yan; Kenji Suzuki; Fei Wang
Springer International Publishing AG (2013)
Pehmeäkantinen kirja

51,40 €

MACHINE LEARNING IN MEDICAL IMAGING - 5TH INTERNATIONAL WORKSHOP, MLMI 2014, HELD IN CONJUNCTION WITH MICCAI 2014, BOSTON, MA, U

Guorong Wu; Daoqiang Zhang; Luping Zhou
Springer International Publishing AG (2014)
Pehmeäkantinen kirja

51,40 €

HUMAN BRAIN AND ARTIFICIAL INTELLIGENCE - FIRST INTERNATIONAL WORKSHOP, HBAI 2019, HELD IN CONJUNCTION WITH IJCAI 2019, MACAO, C

An Zeng; Dan Pan; Tianyong Hao; Daoqiang Zhang; Yiyu Shi; Xiaowei Song
Springer Verlag, Singapore (2019)
Pehmeäkantinen kirja

51,40 €

Intelligent Data Engineering and Automated Learning – IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12–14

Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros

51,40 €

Springer International Publishing AG
Sivumäärä: 647 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2016
Julkaisuvuosi: 2016, 13.09.2016 (lisätietoa)
Kieli: Englanti
Tuotesarja: Information Systems and Applications, incl. Internet/Web, and HCI

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.

The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

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