计算机应用与软件2011，Vol.28Issue(1)：16-18,3.
一种多层次选择性集成学习算法
A MULTI-LEVEL SELECTIVE ENSEMBLE LEARNING ALGORITHM
摘要
Abstract
Selective ensemble learning is a learning algorithm,which trains a number of base classifiers and selects part of their outcomes according to a certain rule to assemble. With the selective ensemble, this algorithm would achieve better learning effect than the single classifier and the entire ensemble learning. The algorithm can also remarkably improve the generalisation property of the learning system. In this paper, we propose a multi-level selective ensemble learning algorithm, Ada_ens. Test results show that Ada_ens has better learning results and higher ability to generalize.关键词
机器学习/集成学习/选择性集成引用本文复制引用
吴科主,江雨燕,周传华..一种多层次选择性集成学习算法[J].计算机应用与软件,2011,28(1):16-18,3.基金项目
国家自然科学基金项目(60473142). （60473142）
