In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Our LAMDAer team has won the PAKDD'06 Data Mining Competition (Open Category) Grand Champion. This report presents our solution to PAKDD'06 Data Mining Competition. Follo...
Yang Yu, De-Chuan Zhan, Xu-Ying Liu, Ming Li, Zhi-...