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一种多层次选择性集成学习算法
引用本文: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).
作者姓名:吴科主  江雨燕  周传华
作者单位:1. 安徽工业大学信息管理与信息系统系,安徽,马鞍山,243000
2. 安徽工业大学信息管理与信息系统系,安徽,马鞍山,243000;中国科学与技术大学计算机科学技术与应用系,安徽,合肥,230000
基金项目:国家自然科学基金项目(60473142)
摘    要:选择性集成学习是为解决同一个问题而训练多个基分类器,并依据某种规则选取部分基分类器的结果进行整合的学习算法。通过选择性集成可以获得比单个学习器和全部集成学习更好的学习效果,可以显著地提高学习系统的泛化性能。提出了一种多层次选择性集成学习算法Ada_ens。试验结果表明,Ada_ens具有更好的学习效果和泛化性能。

关 键 词:机器学习  集成学习  选择性集成  

A MULTI-LEVEL SELECTIVE ENSEMBLE LEARNING ALGORITHM
Wu Kezhu,Jiang Yuyang,Zhou Chuanhua.A MULTI-LEVEL SELECTIVE ENSEMBLE LEARNING ALGORITHM[J].Computer Applications and Software,2011,28(1).
Authors:Wu Kezhu  Jiang Yuyang  Zhou Chuanhua
Affiliation:Wu Kezhu1 Jiang Yuyang1 Zhou Chuanhua1,2 1(Department of Information Management and Information System,Anhui University of Technology,Maanshan 243000,Anhui,China) 2(Department of Computer Science and Application,University of Science and Technology of China,Hefei 230000,China)
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 Ad...
Keywords:Machine learning Ensemble learning Selective ensemble  
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