229 search results - page 15 / 46 » Fast Support Vector Machine Classification using linear SVMs |
67
Voted
IJCNN
2006
IEEE
15 years 3 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...
78
Voted
ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
74
Voted
SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...
AI
2005
Springer
14 years 9 months ago
2005
Springer
Abstract. The protein family classification problem, which consists of determining the family memberships of given unknown protein sequences, is very important for a biologist for ...
85
Voted
JMLR
2008
14 years 9 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...