Md. Shamsul Huda, John Yearwood, Andrew Stranieri. Hybrid Wrapper-filter Aapproaches for Input Feature Selection using Maximum relevance-Minimum redundancy and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA). In Mark Reynolds, editor, Thirty-Fourth Australasian Computer Science Conference, ACSC 2011, Perth, Australia, January 2011. Volume 113 of CRPIT, pages 43-52, Australian Computer Society, 2011. [doi]
@inproceedings{HudaYS11,
title = {Hybrid Wrapper-filter Aapproaches for Input Feature Selection using Maximum relevance-Minimum redundancy and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA)},
author = {Md. Shamsul Huda and John Yearwood and Andrew Stranieri},
year = {2011},
url = {http://crpit.com/abstracts/CRPITV113Huda.html},
researchr = {https://researchr.org/publication/HudaYS11},
cites = {0},
citedby = {0},
pages = {43-52},
booktitle = {Thirty-Fourth Australasian Computer Science Conference, ACSC 2011, Perth, Australia, January 2011},
editor = {Mark Reynolds},
volume = {113},
series = {CRPIT},
publisher = {Australian Computer Society},
isbn = {978-1-920682-93-4},
}