1301 search results - page 49 / 261 » Default Clustering from Sparse Data Sets |
ACL
2012
11 years 11 months ago
2012
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
ACL
2006
13 years 10 months ago
2006
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
AUSAI
2003
Springer
14 years 1 months ago
2003
Springer
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
FGR
2008
IEEE
13 years 10 months ago
2008
IEEE
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
BMCBI
2007
13 years 8 months ago
2007
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...