848 search results - page 116 / 170 » Feature selection in a kernel space |
108
Voted
WWW
2009
ACM
16 years 3 months ago
2009
ACM
The performance of server-side applications is becoming increasingly important as more applications exploit the Web application model. Extensive work has been done to improve the ...
110
Voted
NIPS
2000
15 years 4 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
143
Voted
PR
2008
15 years 2 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
155
Voted
SCHOLARPEDIA
2008
15 years 1 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
156
Voted
TNN
2011
14 years 9 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...