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NIPS
2007
13 years 6 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
IWPC
2010
IEEE
13 years 3 months ago
On the Equivalence of Information Retrieval Methods for Automated Traceability Link Recovery
Abstract—We present an empirical study to statistically analyze the equivalence of several traceability recovery methods based on Information Retrieval (IR) techniques. The analy...
Rocco Oliveto, Malcom Gethers, Denys Poshyvanyk, A...
ICML
2009
IEEE
14 years 6 months ago
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
David Andrzejewski, Xiaojin Zhu, Mark Craven
ACL
2008
13 years 6 months ago
Text Segmentation with LDA-Based Fisher Kernel
In this paper we propose a domainindependent text segmentation method, which consists of three components. Latent Dirichlet allocation (LDA) is employed to compute words semantic ...
Qi Sun, Runxin Li, Dingsheng Luo, Xihong Wu
SLSFS
2005
Springer
13 years 10 months ago
Discrete Component Analysis
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
Wray L. Buntine, Aleks Jakulin