TY - GEN
T1 - DCPE co-training
T2 - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
AU - Xu, Jin
AU - He, Haibo
AU - Man, Hong
PY - 2010
Y1 - 2010
N2 - Co-training is a semi-supervised learning technique used to recover the unlabeled data based on two base learners. The normal co-training approaches use the most confidently recovered unlabeled data to augment the training data. In this paper, we investigate the co-training approaches with a focus on the diversity issue and propose the diversity of class probability estimation (DCPE) co-training approach. The key idea of the DCPE co-training method is to use DCPE between two base learners to choose the recovered unlabeled data. The results are compared with classic co-training, tri-training and self training methods. Our experimental study based on the UCI benchmark data sets shows that the DCPE co-training is robust and efficient in the classification.
AB - Co-training is a semi-supervised learning technique used to recover the unlabeled data based on two base learners. The normal co-training approaches use the most confidently recovered unlabeled data to augment the training data. In this paper, we investigate the co-training approaches with a focus on the diversity issue and propose the diversity of class probability estimation (DCPE) co-training approach. The key idea of the DCPE co-training method is to use DCPE between two base learners to choose the recovered unlabeled data. The results are compared with classic co-training, tri-training and self training methods. Our experimental study based on the UCI benchmark data sets shows that the DCPE co-training is robust and efficient in the classification.
UR - http://www.scopus.com/inward/record.url?scp=79959418224&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79959418224&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2010.5596701
DO - 10.1109/IJCNN.2010.5596701
M3 - Conference contribution
AN - SCOPUS:79959418224
SN - 9781424469178
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Y2 - 18 July 2010 through 23 July 2010
ER -