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122 results on '"Yu, Da-Ren"'

12. Improved Feature Selection Algorithm Based on SVM and Correlation

Author

Xie, Zong-Xia, Hu, Qing-Hua, Yu, Da-Ren, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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13. Constructing Rough Decision Forests

Author

Hu, Qing-Hua, Yu, Da-Ren, Wang, Ming-Yang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Ślęzak, Dominik, editor, Yao, JingTao, editor, Peters, James F., editor, Ziarko, Wojciech, editor, and Hu, Xiaohua, editor

Published
2005
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18. A case study for a turbogenerator accident using multiscale association

Author

Yu, Da-Ren, Wang, Wei, Zhang, Zhi-Qiang, Hu, Qing-Hua, and Zhao, Xiao-Min

Subjects
Turbogenerators -- Design and construction, Workplace accidents -- Evaluation, Maximum likelihood estimates (Statistics) -- Methods, Neural networks -- Design and construction, Neural network, Engineering and manufacturing industries, Science and technology
Abstract

This paper presents a novel method of multiscale association for analyzing a turbogenerator accident having strange behaviors and serious consequence. Wave index (WI) and credibility of sensor fault are proposed based on multiscale analysis of the recorded data, and then the associational degree of WI is used to detect sensor fault. In addition, mechanism models are built to verify that detection. Furthermore, maximum likelihood method and neural network are applied to estimate the confidence interval of the fault sensor and the true signal. The estimation has been used to clearly explain the cause of this accident. [DOI: 10.1115/1.2943149]

Published
2008

27. Simulation study of he inventory effect of the scientific paper publishing process

Author

Yu, Guang, Li, Yi-Jun, and Yu, Da-Ren

Subjects
Science publishing -- Statistics, Periodical publishing -- Production processes, Error analysis (Mathematics), Library and information science
Abstract

Publication delay is found to contribute to statistical error in scientific paper output or amount of published papers. The study uses a simulation model in the change process involving scientific papers' inventory and proposes an approximate algorithm of paper output.ds

Published
2009

43. Measuring preferential attachment mechanism in citation network basing on sliding time windows

Author

Yu Da Ren, Wang Ming-Yang, and Yu Guang

Subjects
Citation network, Citation analysis, Time windows, business.industry, Kernel (statistics), Artificial intelligence, Statistical physics, Preferential attachment, business, Mathematics
Abstract

The preferential attachment mechanism (PAM) in citation network is studied dependent on papers' past citations obtained in different time windows. Experiment shows that the correlation between papers' attachment rate Π(k,t) and the past citations reaches peak in time window t=1, but then decays continually when enlarging the time window gradually. It indicates that the citations obtained in the recent one-year period will be the kernel factor to determine papers' attachment property. And negative effects would be brought to PAM if more citations in larger time windows were considered. Basing on the past citations obtained in t=1, the traditional PAM was modified as Π(k,t)”k 1 . Experiment shows that the modified PAM has acquired a very good linear dependence between Π(k,t) and the citations in t=1.

Published
2010

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