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For: Zhang CX, Ji NN, Wang GW. Randomizing outputs to increase variable selection accuracy. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2016.08.067] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Number Cited by Other Article(s)
1
On selective learning in stochastic stepwise ensembles. INT J MACH LEARN CYB 2020. [DOI: 10.1007/s13042-019-00968-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
2
Yang D, Li T, Zhang H, Xie X. Event-trigger-based robust control for nonlinear constrained-input systems using reinforcement learning method. Neurocomputing 2019. [DOI: 10.1016/j.neucom.2019.02.034] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
3
Zhang CX, Zhang JS, Yin QY. Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models. Knowl Based Syst 2018. [DOI: 10.1016/j.knosys.2018.04.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
4
Zhang CX, Zhang JS, Wang GW, Ji NN. A novel bagging approach for variable ranking and selection via a mixed importance measure. J Appl Stat 2017. [DOI: 10.1080/02664763.2017.1391181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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