160 search results - page 15 / 32 » Adaptive importance sampling in general mixture classes |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
PR
2008
13 years 7 months ago
2008
Feature selection is an important preprocessing step in mining high-dimensional data. Generally, supervised feature selection methods with supervision information are superior to ...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...