TY - GEN
T1 - Active learning based on support vector machines
AU - Wang, Ran
AU - Kwong, Sam
AU - He, Qiang
PY - 2010
Y1 - 2010
N2 - Active learning is mainly to select a part of unlabelled samples from a big dataset. The selected samples are then submitted to domain experts to label and added to the training set. Suppose that the price of labeling samples is far more than the computational cost of training algorithms, we propose a scheme of active learning based on support vector machines, which follows the traditionally inductive learning model of general-specific. In terms of the number of selected samples, the training cost, and the generalization ability, a comparison with some existing active learning algorithms is conducted. The advantages and disadvantages are demonstrated experimentally. ©2010 IEEE.
AB - Active learning is mainly to select a part of unlabelled samples from a big dataset. The selected samples are then submitted to domain experts to label and added to the training set. Suppose that the price of labeling samples is far more than the computational cost of training algorithms, we propose a scheme of active learning based on support vector machines, which follows the traditionally inductive learning model of general-specific. In terms of the number of selected samples, the training cost, and the generalization ability, a comparison with some existing active learning algorithms is conducted. The advantages and disadvantages are demonstrated experimentally. ©2010 IEEE.
KW - Active learning
KW - Order in hypothesis space
KW - Sample selection
KW - SVM
UR - https://www.scopus.com/pages/publications/78751500839
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-78751500839&origin=recordpage
U2 - 10.1109/ICSMC.2010.5642440
DO - 10.1109/ICSMC.2010.5642440
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781424465880
SP - 1312
EP - 1316
BT - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
T2 - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Y2 - 10 October 2010 through 13 October 2010
ER -