Latent Semantic Kernels
作者：Nello Cristianini, John Shawe-Taylor, Huma Lodhi
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.
论文关键词：Kernel methods, latent semantic indexing, latent semantic kernels, Gram-Schmidt kernels, text categorization
论文评审过程：
论文官网地址：https://doi.org/10.1023/A:1013625426931
