Sciweavers

129 search results - page 12 / 26
» A latent topic model for linked documents
Sort
View
ICML
2006
IEEE
14 years 8 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 2 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...
AAAI
2012
11 years 10 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
14 years 1 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
ECIR
2009
Springer
14 years 4 months ago
A Topic-Based Measure of Resource Description Quality for Distributed Information Retrieval
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
Mark Baillie, Mark James Carman, Fabio Crestani