AAAI
2000
14 years 25 days ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
ICDM
2003
IEEE
14 years 4 months ago
2003
IEEE
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
ICML
2005
IEEE
15 years 8 days ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...