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ICML
2001
IEEE
16 years 29 days ago
Latent Semantic Kernels
Nello Cristianini, John Shawe-Taylor, Huma Lodhi
ACL
2008
15 years 1 months ago
Text Segmentation with LDA-Based Fisher Kernel
In this paper we propose a domainindependent text segmentation method, which consists of three components. Latent Dirichlet allocation (LDA) is employed to compute words semantic ...
Qi Sun, Runxin Li, Dingsheng Luo, Xihong Wu
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
15 years 6 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
ICDAR
2009
IEEE
14 years 10 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang