433 search results - page 18 / 87 » Local-Learning-Based Feature Selection for High-Dimensional ... |
127
Voted
ML
2008
ACM
14 years 11 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...
106
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IIS
2003
15 years 1 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...
130
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ICML
2007
IEEE
16 years 14 days 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 ...
94
Voted
KDD
2008
ACM
16 years 2 days ago
2008
ACM
117
Voted
NECO
2000
14 years 11 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 ...