T. Xiong

Learn More
In this paper, we describe the stochastic semi-supervised learning approach that we used in our submission to all six tasks in 2009-2010 Active Learning Challenge. The method is designed to tackle the binary classification problem under the condition that the number of labeled data points is extremely small and the two classes are highly imbalanced. It(More)
We attempt to investigate the possibility of combining the thought of multiple classifiers system with the classifier of case-based reasoning (CBR) in Euclidean space to predict business risk. We use the classical CBR algorithm as the basic classifier, which is based on Euclidean metric and k-nearest neighbors. The three commonly used feature selection(More)
  • 1