130 search results - page 1 / 26 » Optimizing Area Under Roc Curve with SVMs |
ROCAI
2004
Springer
13 years 10 months ago
2004
Springer
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Recently, the area of rule extraction from support vector machines (SVMs) has been explored. One important indication of the success of a rule extraction method is the performance...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
ECIR
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
IJCAI
2007
13 years 6 months ago
2007
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....