433 search results - page 18 / 87 » Local-Learning-Based Feature Selection for High-Dimensional ... |
ML
2008
ACM
13 years 7 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
IIS
2003
13 years 9 months ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
NECO
2000
13 years 7 months ago
2000
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...