An Ensemble Learning Algorithm Based on Lasso Selection

摘要：

Ensemble learning, especially selective ensemble learning is now becoming more and more popular in the field of machine learning. This paper introduces a new ensemble algorithm, named Lasso-Bagging Trees ensemble algorithm. This algorithm is in order to improve the whole learning ability, which is a combination of tree predictors and this method chooses and ensembles trees based on the shrinkage estimation of lasso technology. Compared with a series of other learning algorithms, it demonstrates better generalization ability and higher efficiency.

关键词： Decision Tree Bootstraps Selective Ensemble

作者: Kai CHEN Yang JIN

作者单位: School of Statistics Renmin University of China Beijing, China Department of Management Information College of Computer Science and Technology Jilin University Changchun, China Department of Managemen

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 617-620

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）