Sciweavers

22 search results - page 1 / 5
» Weighted Kernel Model For Text Categorization
Sort
View
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
13 years 8 months ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....
ICDAR
2009
IEEE
13 years 2 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
ML
2002
ACM
223views Machine Learning» more  ML 2002»
13 years 4 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
ICDAR
2009
IEEE
13 years 2 months ago
Using top n Recognition Candidates to Categorize On-line Handwritten Documents
The traditional weighting schemes used in text categorization for the vector space model (VSM) cannot exploit information intrinsic to texts obtained through on-line handwriting r...
Sebastián Peña Saldarriaga, Emmanuel...