59 search results - page 5 / 12 » Learning Decision Trees Using the Area Under the ROC Curve |
ICMLA
2007
13 years 10 months ago
2007
For both single probability estimation trees (PETs) and ensembles of such trees, commonly employed class probability estimates correct the observed relative class frequencies in e...
ICONIP
2008
13 years 10 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
ISBI
2011
IEEE
13 years 8 days ago
2011
IEEE
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
CORR
2011
Springer
13 years 10 days ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
ICML
2003
IEEE
14 years 1 months ago
2003
IEEE
AUC(Area Under the Curve) of ROC(Receiver Operating Characteristics) has been recently used as a measure for ranking performanceof learning algorithms. In this paper, wepresent a ...