163 search results - page 19 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
GECCO
2003
Springer
14 years 21 days ago
2003
Springer
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
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...