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WBCSVM : Weighted Bayesian Classification based on Support Vector Machines  (Make Corrections)  
Thomas Grtner THOMAS. Knowledge Discovery Team, German...



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Abstract: This paper introduces an algorithm that combines nave Bayes classification with feature weighting. Most of the related approaches to feature transformation for nave Bayes suggest various heuristics and non-exhaustive search strategies for selecting a subset of features with which nave Bayes performs better than with the complete set of features. In contrast, the algorithm introduced in this paper employs feature weighting performed by a support vector machine. The weights are... (Update)

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BibTeX entry:   (Update)

@misc{ thomas-wbcsvm,
  author = "Thomas Grtner Thomas",
  title = "WBCSVM : Weighted Bayesian Classification based on Support Vector Machines",
  url = "citeseer.ist.psu.edu/739546.html" }
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