976 search results - page 27 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
EMNLP
2009
14 years 7 months ago
2009
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
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COLT
1999
Springer
15 years 1 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
SIGIR
2003
ACM
15 years 2 months ago
2003
ACM
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...