25 search results - page 3 / 5 » Graph Mining with Variational Dirichlet Process Mixture Mode... |
KDD
2010
ACM
13 years 9 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...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
JMLR
2010
13 years 2 days ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...