Computer Science ›› 2008, Vol. 35 ›› Issue (10): 186-187.

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MENG Hao-hua LI Guo-zheng (School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Redundant features hurt the performance of learning methods. Feature selection methods were developed to remove some redundant features; however, the redundant features contain useful information, therefore, multi-task learning was developed to employ the

Key words: Genetic algorithm, Multi-task learning, Microarray data analysis

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