3702 search results - page 1 / 741 » Reducing Misclassification Costs |
ICML
1999
IEEE
14 years 5 months ago
1999
IEEE
AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
ICML
1994
IEEE
13 years 8 months ago
1994
IEEE
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Classifiers that refrain from classification in certain cases can significantly reduce the misclassification cost. However, the parameters for such abstaining classifiers are ofte...
LREC
2010
13 years 6 months ago
2010
The LTSE-VAD is one of the best known algorithms for voice activity detection. In this paper we present a modified version of this algorithm, that makes the VAD decision not takin...