187 search results - page 2 / 38 » Bounding the cost of learned rules |
JMLR
2010
2010
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
13 years 2 months ago
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
ICML
1994
IEEE
13 years 10 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 ...
ICML
1999
IEEE
14 years 8 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...
NETWORKS
2010
13 years 5 months ago
2010
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
AGENTS
1998
Springer
13 years 11 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...