403 search results - page 6 / 81 » Bayesian Cluster Ensembles. |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
The performance of document clustering systems depends on employing optimal text representations, which are not only difficult to determine beforehand, but also may vary from one ...