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212
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
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...
186
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
198
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
201
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
169
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ICSE
2009
IEEE-ACM
16 years 7 months ago
2009
IEEE-ACM
Classic fault localization techniques can automatically provide information about the suspicious code blocks that are likely responsible for observed failures. This information is...