1839 search results - page 11 / 368 » Feature Selection in Clustering Problems |
ACL
2008
13 years 9 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
AI
2009
Springer
14 years 2 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
WEBI
2005
Springer
14 years 1 months ago
2005
Springer
Web page clustering is a technology that puts semantically related web pages into groups and is useful for categorizing, organizing, and refining search results. When clustering ...