TY - GEN
T1 - Fuzzy rough sets based uncertainty measuring for stream based active learning
AU - Wang, Ran
AU - Kwong, Sam
AU - Chen, Degang
AU - He, Qiang
PY - 2012
Y1 - 2012
N2 - Active learning methods put their efforts on selecting and labeling the most informative examples out of a large amount of unlabeled ones. It is performed in uncertain environments where the learner is required to make some decisions on the observed examples. However, existing algorithms do not have a good formulation to evaluate the example's uncertainty by considering the inconsistency between conditional features and decision labels, while this inconsistency has been taken into account by fuzzy rough sets. Therefore, a fuzzy rough sets based active learning algorithm with stream based settings is proposed in this work. The lower approximations in fuzzy rough sets are used to compute the memberships of the unlabeled example, and the uncertainty is then used for decision. Experimental comparisons with other existing approaches demonstrate the effectiveness of the proposed algorithm. © 2012 IEEE.
AB - Active learning methods put their efforts on selecting and labeling the most informative examples out of a large amount of unlabeled ones. It is performed in uncertain environments where the learner is required to make some decisions on the observed examples. However, existing algorithms do not have a good formulation to evaluate the example's uncertainty by considering the inconsistency between conditional features and decision labels, while this inconsistency has been taken into account by fuzzy rough sets. Therefore, a fuzzy rough sets based active learning algorithm with stream based settings is proposed in this work. The lower approximations in fuzzy rough sets are used to compute the memberships of the unlabeled example, and the uncertainty is then used for decision. Experimental comparisons with other existing approaches demonstrate the effectiveness of the proposed algorithm. © 2012 IEEE.
KW - Active learning
KW - Fuzzy rough sets
KW - Membership
KW - Support vector machine
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84871661531&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84871661531&origin=recordpage
U2 - 10.1109/ICMLC.2012.6358926
DO - 10.1109/ICMLC.2012.6358926
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781467314855
VL - 1
SP - 282
EP - 288
BT - Proceedings - International Conference on Machine Learning and Cybernetics
T2 - 2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
Y2 - 15 July 2012 through 17 July 2012
ER -
