FRBPSO: A Fuzzy Rule Based Binary PSO for Feature Selection

Author:

Agarwal ShikhaORCID,Rajesh R.,Ranjan Prabhat

Funder

CSIR SRF

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy

Reference61 articles.

1. Donoho DL (2000) High-dimensional data analysis: the curse and blessings of dimensionality. In: American Mathematical society conference Math challenges of the 21st Century. American Mathematical Society. http://www-stat.stanford.edu/~donoho/Lectures/CBMS/Curses.pdf

2. Wedderburn RWM (1974) Quasi-likelihood functions, generalized linear models, and the Gauss–Newton method. Biometrika 61:439–477

3. Fan J, Lv J (2008) Sure independent screening for ultra-high dimensional feature space. J R Stat Soc B 70:849–911

4. Hansen LP (1982) Large sample properties of generalized method of moments estimators. Econometrica 50:1029–1054

5. Yuan Y-X (1999) Step size of gradient method AMS/IP studies in advance mathematics. American Mathematical Society, Providence 42:785

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