1839 search results - page 87 / 368 » Feature Selection in Clustering Problems |
TKDE
2010
13 years 7 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
ANLP
1997
13 years 10 months ago
1997
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
COMSWARE
2007
IEEE
14 years 3 months ago
2007
IEEE
—Clustering techniques create hierarchal network structures, called clusters, on an otherwise flat network. Neighboring devices elect one appropriate device as clusterhead. Due t...
SARA
2005
Springer
14 years 2 months ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
PAMI
2006
13 years 9 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...