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» Classifying XML Documents by Using Genre Features
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JCDL
2005
ACM
100views Education» more  JCDL 2005»
14 years 1 months ago
Automatic extraction of titles from general documents using machine learning
In this paper, we propose a machine learning approach to title extraction from general documents. By general documents, we mean documents that can belong to any one of a number of...
Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Q...
WWW
2002
ACM
14 years 8 months ago
An event-condition-action language for XML
XML repositories are now a widespread means for storing and exchanging information on the Web. As these repositories become increasingly used in dynamic applications such as e-com...
James Bailey, Alexandra Poulovassilis, Peter T. Wo...
WEBDB
2004
Springer
143views Database» more  WEBDB 2004»
14 years 1 months ago
DTDs versus XML Schema: A Practical Study
Among the various proposals answering the shortcomings of Document Type Definitions (DTDs), XML Schema is the most widely used. Although DTDs and XML Schema Defintions (XSDs) di...
Geert Jan Bex, Frank Neven, Jan Van den Bussche
SPE
2008
108views more  SPE 2008»
13 years 7 months ago
Effective asymmetric XML compression
The innate verbosity of the Extensible Markup Language remains one of its main weaknesses, especially when large XML documents are concerned. This problem can be solved with the a...
Przemyslaw Skibinski, Szymon Grabowski, Jakub Swac...
JIIS
2006
73views more  JIIS 2006»
13 years 7 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor