Deep search:Searching for "feature selection" in 'ABSTRACT and KEYWORDGot 13 items.
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1Feature selection based on mutual information and redundancy-synergy coefficient
Author(s):YANG Sheng, GU Jun  Clicked:5858  Download:2465  Cited:4  <Full Text>
Journal of Zhejiang University Science  2004 Vol.5 No.11 P.1382-1391  DOI:10.1631/jzus.2004.1382
2A hybrid neural network system for prediction and recognition of promoter regions in human genome
Author(s):CHEN Chuan-bo, LI Tao  Clicked:6237  Download:2393  Cited:4  <Full Text>
Journal of Zhejiang University Science B  2005 Vol.6 No.5 P.401-407  DOI:10.1631/jzus.2005.B0401
3Feature selection for face recognition: a memetic algorithmic approach
Author(s):Dinesh KUMAR, Shakti KUMAR, C. S. ...  Clicked:5261  Download:3126  Cited:6  <Full Text>
Journal of Zhejiang University Science A  2009 Vol.10 No.8 P.1140-1152  DOI:10.1631/jzus.A0820460
4A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet ...
Author(s):Hussain MONTAZERY-KORDY, Mohammad ...  Clicked:5675  Download:2686  Cited:5  <Full Text>
Journal of Zhejiang University Science B  2008 Vol.9 No.11 P.863-870  DOI:10.1631/jzus.B0820163
5A fast automatic recognition and location algorithm for fetal genital organs in ultrasound images
Author(s):Sheng TANG, Si-ping CHEN  Clicked:5481  Download:2725  Cited:0  <Full Text>
Journal of Zhejiang University Science B  2009 Vol.10 No.9 P.648-658  DOI:10.1631/jzus.B0930162
6Combining flame monitoring techniques and support vector machine for the online identification of coal blends
Author(s):Hao Zhou, Yuan Li, Qi Tang, Gang L...  Clicked:3536  Download:1896  Cited:0  <Full Text>  <PPT> 1454
Journal of Zhejiang University Science A  2017 Vol.18 No.9 P.677-689  DOI:10.1631/jzus.A1600454
7Battle damage assessment based on an improved Kullback-Leibler divergence sparse autoencoder
Author(s):Zong-feng Qi, Qiao-qiao Liu, Jun W...  Clicked:3695  Download:1307  Cited:0  <Full Text>  <PPT> 1275
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.12 P.1991-2000  DOI:10.1631/FITEE.1601395
8A new feature selection method for handling redundant information in text classification
Author(s):You-wei Wang, Li-zhou Feng  Clicked:4037  Download:1711  Cited:0  <Full Text>  <PPT> 1217
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.2 P.221-234  DOI:10.1631/FITEE.1601761
9A feature selection approach based on a similarity measure for software defect prediction
Author(s):Qiao Yu, Shu-juan Jiang, Rong-cun ...  Clicked:4820  Download:2015  Cited:0  <Full Text>  <PPT> 1248
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.11 P.1744-1753  DOI:10.1631/FITEE.1601322
10An effective fault prediction model developed using an extreme learning machine with various kernel methods
Author(s):Lov Kumar, Anand Tirkey, Santanu-K...  Clicked:4026  Download:1908  Cited:0  <Full Text>  <PPT> 1096
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.7 P.864-888  DOI:10.1631/FITEE.1601501
11Unsupervised feature selection via joint local learning and group sparse regression
Author(s):Yue Wu, Can Wang, Yue-qing Zhang, ...  Clicked:5118  Download:1268  Cited:0  <Full Text>  <PPT> 1164
Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.4 P.538-553  DOI:10.1631/FITEE.1700804
12FAAD: 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:3374  Download:1534  Cited:0  <Full Text>  <PPT> 1362
Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.3 P.388-404  DOI:10.1631/FITEE.1800038
13A software defect prediction method with metric compensation based on feature selection and transfer learning
Author(s):Jinfu CHEN, Xiaoli WANG, Saihua CA...  Clicked:197  Download:168  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.5 P.715-731  DOI:10.1631/FITEE.2100468
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