A Two-Stage Semi-Supervised Weighted Naive Credal Classification Model
Huifen Li · Yunchou yu guanli · 2011
Aiming at full use of implicit information in the incomplete data sets and reducing the high computational complexity of semi-supervised classification algorithms,this paper improves nave credal classifier,and proposes a two-stage semi-supervised weighted naive credal classification model,in which the process of semi-supervised classification is divided into two stages.Simulation results of comparative experiment with TSVM verify that this classification model is efficient.