130 search results - page 8 / 26 » Optimizing Area Under Roc Curve with SVMs |
SIGPRO
2011
12 years 10 months ago
2011
Quantizing real-valued templates into binary strings is a fundamental step in biometric compression and template protection. In this paper, we introduce the area under the FRR cur...
ICDAR
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
BMCBI
2005
13 years 7 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
DATAMINE
2008
13 years 7 months ago
2008
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...