Mobile Intelligent Agents for Document Classiication and Retrieval: a Machine Learning Approach

@inproceedings{Yang1998MobileIA,
  title={Mobile Intelligent Agents for Document Classiication and Retrieval: a Machine Learning Approach},
  author={A. F. Yang and Prashant Pai and Vasant Honavar},
  year={1998}
}
This paper describes an implementation of intelligent, customizable mobile software agents for document classiication and retrieval. The mobile agents are implemented using the Voyager platform. The agents learn user's interests by interacting with the user. Results of experiments using three diier-ent approaches { TFIDF, Bayesian and DistAl (neural network classiier) { for the design of trainable document classiiers are presented. The performance of each classiier with and without feature… CONTINUE READING
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An algorithm for su  x stripping

  • M Porter.
  • Voyager : The AgentORB for Java . Core Technology…
  • 1980

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