Latent Semantic Kernels

被引：13

作者：

Nello Cristianini

John Shawe-Taylor

Huma Lodhi

机构：

[1] University of London,Department of Computer Science, Royal Holloway

来源：

Journal of Intelligent Information Systems | 2002年 / 18卷

关键词：

Kernel methods; latent semantic indexing; latent semantic kernels; Gram-Schmidt kernels; text categorization;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Kernel methods like support vector machines have successfully been used for text categorization. A standard choice of kernel function has been the inner product between the vector-space representation of two documents, in analogy with classical information retrieval (IR) approaches.

引用

页码：127 / 152

页数：25

共 22 条

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[4] Deerwester S.(1975)A Vector Space Model for Information Retrieval Journal of the American Society for Information Science 18 613-620
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