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ACL
2003
13 years 9 months ago
Fast Methods for Kernel-Based Text Analysis
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Taku Kudo, Yuji Matsumoto
PRIS
2010
13 years 5 months ago
The Impact of Pre-processing on the Classification of MEDLINE Documents
The amount of information available in the MEDLINE database makes it very hard for a researcher to retrieve a reasonable amount of relevant documents using a simple query language ...
Carlos Adriano Gonçalves, Célia Talm...
WWW
2004
ACM
14 years 8 months ago
Anti-aliasing on the web
It is increasingly common for users to interact with the web using a number of different aliases. This trend is a doubleedged sword. On one hand, it is a fundamental building bloc...
Jasmine Novak, Prabhakar Raghavan, Andrew Tomkins
EDOC
2008
IEEE
14 years 2 months ago
On Creating Industry-Wide Reference Architectures
Many industries have been developing e-business standards to improve business-to-business interoperability on a mass scale. Most such standards are composed of business data model...
Liming Zhu, Mark Staples, Vladimir Tosic
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 7 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh