119 search results - page 1 / 24 » Pruning Training Samples Using a Supervised Clustering Algor... |
ISNN
2010
Springer
13 years 3 months ago
2010
Springer
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
JIFS
2008
13 years 4 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
NIPS
1993
13 years 6 months ago
1993
We present a new algorithm for eliminating excess parameters and improving network generalization after supervised training. The method, \Principal Components Pruning (PCP)",...
BIOCOMP
2007
13 years 6 months ago
2007
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...