Effectiveness Analysis and Application in Data Streams of Cross Validation Noise-Tolerance Classification Algorithm

ZHANG Jian-pei; YANG Xian-fei; YANG Jing

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Effectiveness Analysis and Application in Data Streams of Cross Validation Noise-Tolerance Classification Algorithm

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- Effectiveness Analysis and Application in Data Streams of Cross Validation Noise-Tolerance Classification Algorithm
- Acta Electronica Sinica Vol. 39, Issue 2, Pages: 378-382(2011)
- 作者机构：
  
  哈尔滨工程大学计算机科学与技术学院,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP301
- Published：2011
- 稿件说明：
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ZHANG Jian-pei, YANG Xian-fei, YANG Jing. Effectiveness Analysis and Application in Data Streams of Cross Validation Noise-Tolerance Classification Algorithm[J]. Acta Electronica Sinica, 2011, 39(2): 378-382.
DOI：

ZHANG Jian-pei, YANG Xian-fei, YANG Jing. Effectiveness Analysis and Application in Data Streams of Cross Validation Noise-Tolerance Classification Algorithm[J]. Acta Electronica Sinica, 2011, 39(2): 378-382. DOI：

摘要

交叉验证容噪分类算法是处理含噪音数据集分类问题的重要手段之一.从样本复杂度理论出发

对其有效性进行了详细的理论证明

并给出适用条件.提出一种容噪数据流集合分类算法

理论分析和实验验证表明

该算法与传统交叉验证容噪算法相比

具有更高的分类准确率.

Abstract

Cross validation noise-tolerance classification algorithm is an important method which deals with noisy data set classification problem.According to sample complexity theory

cross validation noise-tolerance classification algorithm validity was proved and applied conditions was given.And noise-tolerance data stream ensemble classifiers was proposed in this paper.Theory and experiment indicated

in contrast with tradition cross validation noise-tolerance classification algorithm

this method had more prediction accuracy.

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