1416 search results - page 17 / 284 » Optimal feature selection for support vector machines |
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Support Vector Machines (SVM) are one of the most useful
techniques in classification problems. One clear example
is face recognition. However, SVM cannot be applied
when the fe...
AAAI
2006
13 years 9 months ago
2006
This paper presents data selection procedures for support vector machines (SVM). The purpose of data selection is to reduce the dataset by eliminating as many non support vectors ...