Deep search:Searching for "feature selection" in 'ABSTRACTGot 13 items.
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1Feature selection based on mutual information and redundancy-synergy coefficient
Author(s):YANG Sheng, GU Jun  Clicked:7518  Download:3607  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:8059  Download:3492  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:6901  Download:4133  Cited:6  <Full Text>
Journal of Zhejiang University Science A  2009 Vol.10 No.8 P.1140-1152  DOI:10.1631/jzus.A0820460
4Combining 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:5590  Download:3176  Cited:0  <Full Text>  <PPT> 2056
Journal of Zhejiang University Science A  2017 Vol.18 No.9 P.677-689  DOI:10.1631/jzus.A1600454
5A new feature selection method for handling redundant information in text classification
Author(s):You-wei Wang, Li-zhou Feng  Clicked:7296  Download:2772  Cited:0  <Full Text>  <PPT> 1698
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.2 P.221-234  DOI:10.1631/FITEE.1601761
6A feature selection approach based on a similarity measure for software defect prediction
Author(s):Qiao Yu, Shu-juan Jiang, Rong-cun ...  Clicked:8053  Download:3092  Cited:0  <Full Text>  <PPT> 1758
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.11 P.1744-1753  DOI:10.1631/FITEE.1601322
7An effective fault prediction model developed using an extreme learning machine with various kernel methods
Author(s):Lov Kumar, Anand Tirkey, Santanu-K...  Clicked:7941  Download:3319  Cited:0  <Full Text>  <PPT> 1613
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.7 P.864-888  DOI:10.1631/FITEE.1601501
8Unsupervised feature selection via joint local learning and group sparse regression
Author(s):Yue Wu, Can Wang, Yue-qing Zhang, ...  Clicked:8551  Download:2380  Cited:0  <Full Text>  <PPT> 1669
Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.4 P.538-553  DOI:10.1631/FITEE.1700804
9A software defect prediction method with metric compensation based on feature selection and transfer learning
Author(s):Jinfu CHEN, Xiaoli WANG, Saihua CA...  Clicked:3595  Download:6254  Cited:0  <Full Text>  <PPT> 515
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.5 P.715-731  DOI:10.1631/FITEE.2100468
10Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions
Author(s):Kulanthaivel BALAKRISHNAN, Ramasam...  Clicked:2839  Download:6857  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.10 P.1451-1478  DOI:10.1631/FITEE.2100569
11Ensemble-transfer-learning-based channel parameter prediction in asymmetric massive MIMO systems
Author(s):Zunwen HE, Yue LI, Yan ZHANG, Wanc...  Clicked:2993  Download:6788  Cited:0  <Full Text>  <PPT> 559
Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.2 P.275-288  DOI:10.1631/FITEE.2200169
12Testosterone Prompted Cardiac Fibrosis in Arrhythmogenic Right Ventricular Cardiomyopathy: Evidence from Cl...
Author(s):Hongyi Cheng, Xinrui Wang, Sichong...  Clicked:471  Download:547  Cited:0  <Full Text>
Journal of Zhejiang University Science B  2007 Vol.8 No.1 P.20-35  DOI:10.1631/bdm.2400168
13A survey of binary code representation technology
Author(s):Taiyan WANG, Qingsong XIE, Lu YU, ...  Clicked:729  Download:493  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  1998 Vol.-1 No.-1 P.  DOI:10.1631/FITEE.2400088
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