Probabilistic topic models - Concepedia

Concepedia

Abstract

Surveying a suite of algorithms that offer a solution to managing large document archives.

References

	Year	Citations
Inference of Population Structure Using Multilocus Genotype Data Jonathan K. Pritchard, Matthew Stephens, Peter Donnelly Genetics	2000	33.7K
Latent dirichlet allocation David M. Blei, Andrew Y. Ng, Michael I. Jordan Journal of Machine Learning Research Latent Dirichlet AllocationEngineeringCorpus LinguisticsAutomatic SummarizationText Mining	2003	26.9K
Advances in neural information processing systems 7 Krzysztof J. Cios, Mark E. Shields Neurocomputing Intelligent Information ProcessingEngineeringMachine LearningComputational NeuroscienceSystems 7	1997	22.3K
Indexing by latent semantic analysis Scott Deerwester, Susan Dumais, George W. Furnas, Journal of the American Society for Information Science	1990	12.7K
An Introduction to Variational Methods for Graphical Models Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, Machine Learning	1999	3.7K
A Bayesian Hierarchical Model for Learning Natural Scene Categories Li Fei-Fei, Pietro Perona Natural Language ProcessingNatural Scene CategoriesTraining SetScene AnalysisMachine Vision	2005	3.6K
Hierarchical Dirichlet Processes Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, Journal of the American Statistical Association	2006	3.5K
Dynamic topic models David M. Blei, John Lafferty Natural Language ProcessingDocument ClusteringLatent ModelingEngineeringInformation Retrieval	2006	2.3K
Probabilistic Latent Semantic Analysis Thomas Hofmann arXiv (Cornell University) EngineeringSemanticsCorpus LinguisticsText MiningWord Embeddings	2013	2.1K
Advances in Neural Information Processing Systems 21 Thomas L. Griffiths, Christopher G. Lucas, Joseph Jay Williams, Neural Information Processing Systems Computational NeuroscienceNeural RecodingComputer ScienceBrain-like ComputingNeurocomputers	2009	1.9K

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