Abstract
Large-scale hypertext categorization has become one of the key techniques in web-based information acquisition. How to implement efficient hypertext categorization is still an ongoing research issue. This paper introduces the Distributed Hypertext Categorization System (DHCS), in which the Directed Acyclic Graph Support Vector Machines (DAGSVM) for learning multi-class hypertext classifiers is incorporated into cooperative computing environment. Knowledge share among the local learning machines is achieved via utilizing both the special features of the DAG learning architecture and the advantages of support vector machines. The key problems encountered in design and implementations of DHCS are also described with solutions to these problems.
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© 2004 Springer-Verlag Berlin Heidelberg
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Yu, S., Pan, L., Zou, F., Ma, F. (2004). DHCS: A Case of Knowledge Share in Cooperative Computing Environment. In: Li, M., Sun, XH., Deng, Q., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24680-0_62
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DOI: https://doi.org/10.1007/978-3-540-24680-0_62
Publisher Name: Springer, Berlin, Heidelberg
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