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SF-HME system
2006
Proceedings of the 2006 ACM symposium on Applied computing - SAC '06
Many linear statistical models have been lately proposed in text classification related literature and evaluated against the Unsolicited Bulk Email filtering problem. Despite their popularity -due both to their simplicity and relative ease of interpretationthe non-linearity assumption of data samples is inappropriate in practice, due to its inability to capture the apparent non-linear relationships, which characterize these samples. In this paper, we propose the SF-HME, a Hierarchical
doi:10.1145/1141277.1141360
dblp:conf/sac/BelsisFGS06
fatcat:4dpk3ggbsfc4pita2qlhqsyuyi