Deep search:Searching for "Feature selection" in 'KEYWORDGot 10 items.
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1Feature selection based on mutual information and redundancy-synergy coefficient
Author(s):YANG Sheng, GU Jun  Clicked:4023  Download:1418  Cited:4  <Full Text>
Journal of Zhejiang University Science  2004 Vol.5 No.11 P.1382~1391  DOI:10.1631/jzus.2004.1382
2Feature selection for face recognition: a memetic algorithmic approach
Author(s):Dinesh KUMAR, Shakti KUMAR, C. S. ...  Clicked:3682  Download:2313  Cited:6  <Full Text>
Journal of Zhejiang University Science A  2009 Vol.10 No.8 P.1140~1152  DOI:10.1631/jzus.A0820460
3A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet ...
Author(s):Hussain MONTAZERY-KORDY, Mohammad ...  Clicked:3828  Download:1716  Cited:5  <Full Text>
Journal of Zhejiang University Science B  2008 Vol.9 No.11 P.863~870  DOI:10.1631/jzus.B0820163
4A fast automatic recognition and location algorithm for fetal genital organs in ultrasound images
Author(s):Sheng TANG, Si-ping CHEN  Clicked:3694  Download:1902  Cited:0  <Full Text>
Journal of Zhejiang University Science B  2009 Vol.10 No.9 P.648~658  DOI:10.1631/jzus.B0930162
5Battle damage assessment based on an improved Kullback-Leibler divergence sparse autoencoder
Author(s):Zong-feng Qi, Qiao-qiao Liu, Jun W...  Clicked:1513  Download:497  Cited:0  <Full Text>  <PPT> 202
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.12 P.1991-2000  DOI:10.1631/FITEE.1601395
6A new feature selection method for handling redundant information in text classification
Author(s):You-wei Wang, Li-zhou Feng  Clicked:1718  Download:876  Cited:0  <Full Text>  <PPT> 181
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.2 P.221-234  DOI:10.1631/FITEE.1601761
7A feature selection approach based on a similarity measure for software defect prediction
Author(s):Qiao Yu, Shu-juan Jiang, Rong-cun ...  Clicked:2611  Download:1198  Cited:0  <Full Text>  <PPT> 176
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.11 P.1744-1753  DOI:10.1631/FITEE.1601322
8An effective fault prediction model developed using an extreme learning machine with various kernel methods
Author(s):Lov Kumar, Anand Tirkey, Santanu-K...  Clicked:1629  Download:1118  Cited:0  <Full Text>  <PPT> 191
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.7 P.864-888  DOI:10.1631/FITEE.1601501
9Unsupervised feature selection via joint local learning and group sparse regression
Author(s):Yue Wu, Can Wang, Yue-qing Zhang, ...  Clicked:2695  Download:541  Cited:0  <Full Text>  <PPT> 127
Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.4 P.538-553  DOI:10.1631/FITEE.1700804
10FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data...
Author(s):Bin Li, Yi-jie Wang, Dong-sheng Ya...  Clicked:1060  Download:662  Cited:0  <Full Text>  <PPT> 185
Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.3 P.388-404  DOI:10.1631/FITEE.1800038
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