56 search results - page 3 / 12 » Estimating replicability of classifier learning experiments |
ECML
2004
Springer
13 years 9 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
JAIR
2008
13 years 5 months ago
2008
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
For two-class classification, it is common to classify by setting a threshold on class probability estimates, where the threshold is determined by ROC curve analysis. An analog fo...
ICPR
2008
IEEE
14 years 6 days ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
AAAI
2006
13 years 7 months ago
2006
In this paper we propose a very simple, yet general and effective method to make any cost-insensitive classifiers (that can produce probability estimates) cost-sensitive. The meth...