1253 search results - page 118 / 251 » Feature selection for linear support vector machines |
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
—Questioned Document Examination processes often encompass analysis of torn documents. To aid a forensic expert, automatic classification of content type in torn documents might ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
NECO
2008
13 years 8 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
ESANN
2008
13 years 9 months ago
2008
In this work, we developed classifiers to distinguish between four ovarian tumor types using Bayesian least squares support vector machines (LS-SVMs) and kernel logistic regression...