MRMR-SSA: a hybrid approach for optimal feature selection

Author:

Mahapatra Monalisha,Majhi Santosh Kumar,Dhal Sunil Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Reference94 articles.

1. Aremu OO, Hyland-Wood D, McAree PR (2019) A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data. Reliab Eng Syst Saf 195:106706

2. Gunay ME, Yildirim R (2020) Recent advances in knowledge discovery for heterogeneous catalysis using machine learning. Catal Rev 63:1–45

3. Anukrishna PR, Paul V (2017) A review on feature selection for high dimensional data. Int Conf Invent Syst Control (ICISC) 2017:1–4

4. Moorthy RS, Pabitha P (2018) A study on meta heuristic algorithms for feature selection. In: International conference on intelligent data communication technologies and internet of things, pp 1291–1298

5. Nizami IF, Majid M, Khurshid K (2018) New feature selection algorithms for no-reference image quality assessment. Appl Intell 48(10):3482–3501

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