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» Statistical Debugging Using Latent Topic Models
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ECML
2007
Springer
13 years 10 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
PRL
2006
119views more  PRL 2006»
13 years 4 months ago
Exploring the use of latent topical information for statistical Chinese spoken document retrieval
Information retrieval which aims to provide people with easy access to all kinds of information is now becoming more and more emphasized. However, most approaches to information r...
Berlin Chen
CIKM
2009
Springer
13 years 11 months ago
Cross-language linking of news stories on the web using interlingual topic modelling
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
Wim De Smet, Marie-Francine Moens
ICML
2009
IEEE
13 years 11 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
14 years 5 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda