31 search results - page 5 / 7 » Probabilistic author-topic models for information discovery |
SAC
2009
ACM
14 years 2 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
BMCBI
2007
13 years 7 months ago
2007
Background: Motif discovery aims to detect short, highly conserved patterns in a collection of unaligned DNA or protein sequences. Discriminative motif finding algorithms aim to i...
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents a simple and adaptable matching method dealing with web directories, catalogs and OWL ontologies. By using a well-known Knowledge Discovery in Databases model,...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
DILS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogen...