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Grafting: fast, incremental feature selection by gradient descent in function space
J. Mach. Learn. Res., 2003Summary: We present a novel and flexible approach to the problem of feature selection, called grafting. Rather than considering feature selection as separate from learning, grafting treats the selection of suitable features as an integral part of learning a predictor in a regularized learning framework.
Simon Perkins +2 more
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An incremental feature selection approach for dynamic feature variation
NeurocomputingFeng Wang 0038 +3 more
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Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy
IEEE Transactions on Fuzzy Systems, 2020Xiao Zhang, Degang Chen, Jinhai Li
exaly
Incremental feature selection for dynamic hybrid data using neighborhood rough set
Knowledge-Based Systems, 2020Yonghong Xie, Wenbin Qian, Wenhao Shu
exaly
Incremental granularity feature selection based on representative samples
International Journal of Machine Learning and CyberneticsRuibo Dong, Xu Li, Changzhong Wang
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Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification
IEEE Transactions on Fuzzy Systems, 2023Wanli Huang +3 more
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