TY - GEN
T1 - Feature ordering for neural incremental attribute learning based on Fisher's Linear Discriminant
AU - Wang, Ting
AU - Guan, Sheng Uei
PY - 2013
Y1 - 2013
N2 - Incremental attribute learning (IAL) often gradually imports and trains pattern features in one or more size, which makes feature ordering become a novel preprocessing work in IAL process. In previous studies, the calculation of feature ordering is often Based on feature's single contribution to outputs, which is similar to wrapper methods in feature selection. However, such a process is time-consuming. In this paper, a new approach for feature ordering is presented, where feature ordering is ranked by Fisher Score, a metric derived by Fisher's Linear Discriminant (FLD). Based on neural network IAL model, experimental results verified that feature ordering derived by Fisher Score can not only save time, but also obtain the best classification rate compared with those in previous studies.
AB - Incremental attribute learning (IAL) often gradually imports and trains pattern features in one or more size, which makes feature ordering become a novel preprocessing work in IAL process. In previous studies, the calculation of feature ordering is often Based on feature's single contribution to outputs, which is similar to wrapper methods in feature selection. However, such a process is time-consuming. In this paper, a new approach for feature ordering is presented, where feature ordering is ranked by Fisher Score, a metric derived by Fisher's Linear Discriminant (FLD). Based on neural network IAL model, experimental results verified that feature ordering derived by Fisher Score can not only save time, but also obtain the best classification rate compared with those in previous studies.
KW - Feature ordering
KW - Fisher's Linear Discriminant
KW - Incremental attribute learning
KW - Neural networks
KW - Pattern classification
UR - http://www.scopus.com/inward/record.url?scp=84891868222&partnerID=8YFLogxK
U2 - 10.1109/IHMSC.2013.268
DO - 10.1109/IHMSC.2013.268
M3 - Conference Proceeding
AN - SCOPUS:84891868222
SN - 9780769550114
T3 - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
SP - 507
EP - 510
BT - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
T2 - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Y2 - 26 August 2013 through 27 August 2013
ER -