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面向Web文档分类的张量最大间隔投影

王自强 孙霞 钱旭

计算机工程与应用2011,Vol.47Issue(32):123-127,5.
计算机工程与应用2011,Vol.47Issue(32):123-127,5.DOI:10.3778/j.issn.1002-8331.2011.32.036

面向Web文档分类的张量最大间隔投影

Tensor maximum margin projection for Web document classification

王自强 1孙霞 2钱旭2

作者信息

  • 1. 中国矿业大学(北京)机电与信息工程学院,北京100083
  • 2. 河南工业大学信息科学与工程学院,郑州450001
  • 折叠

摘要

Abstract

To effectively resolve the following drawbacks of the traditional vector representation-based document dimensionality reduction algorithms,such as the curse of dimensionality and singular value problems,a novel Web document classification algorithm based on tensor maximum margin projection is proposed in this paper.This algorithm can improve the discriminant ability of dimensionality reduction algorithm by fully using the structure and association information of documents.The experimental results on the WebKB and 20NG document collections show that the proposed algorithm achieves much better performance than other conventional document classification algorithms.

关键词

文档分类/最大间隔投影/数据挖掘/流形学习

Key words

document classification/maximum margin projection/data mining/manifold learning

分类

信息技术与安全科学

引用本文复制引用

王自强,孙霞,钱旭..面向Web文档分类的张量最大间隔投影[J].计算机工程与应用,2011,47(32):123-127,5.

基金项目

国家自然科学基金(the National Natural Science Foundation of China under Grant No.70701013) (the National Natural Science Foundation of China under Grant No.70701013)

教育部科学技术研究重点资助项目(No.107021) (No.107021)

河南省自然科学基金项目(No.102300410020). (No.102300410020)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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