10.1162/jmlr.2003.3.4-5.993

Abstract

This DOI is not currently attached to any metadata records. DOIs can’t actually ever be deleted (they’re persistent), but sometimes our members create DOIs in error. We do have a process to approximate deletion which we follow only in rare cases where the DOI has been genuinely created in error, and most crucially, if the DOI has never been published anywhere online or in print and never otherwise distributed to or communicated with anyone (authors, readers, reviewers, etc.

References

Page 1

	Year	Citations
Indexing by latent semantic analysis Scott Deerwester, Susan Dumais, George W. Furnas, Journal of the American Society for Information Science	1990	12.7K
Making Large-Scale SVM Learning Practical Thorsten Joachims Technical reports Artificial IntelligenceMathematical ProgrammingSupport Vector MachineImage AnalysisMachine Learning	2006	4.3K
Probabilistic latent semantic indexing Thomas Hofmann	1999	3.9K
An Introduction to Variational Methods for Graphical Models Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, Machine Learning	1999	3.7K
Text Classification from Labeled and Unlabeled Documents using EM Kamal Nigam, Andrew Kachites McCallum, Sebastian Thrun, Machine Learning	2000	2.7K
Statistical Methods for Speech Recognition Don X. Sun, Frederick Jelinek Journal of the American Statistical Association EngineeringSpoken Language ProcessingPhonologyCorpus LinguisticsSpeech Recognition	1999	2K
Latent semantic indexing Christos H. Papadimitriou, Hisao Tamaki, Prabhakar Raghavan, EngineeringSemantic SearchLatent Semantic IndexingSemantic WebSemantics	1998	873
Estimating a Dirichlet Distribution Thomas P. Minka	2000	778
Expectation-propagation for the generative aspect model Thomas P. Minka, John Lafferty	2002	441
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments Alexandrin Popescul, Lyle Ungar, David M. Pennock, arXiv (Cornell University) EngineeringMachine LearningUnified CollaborativeSecondary Content InformationInformation Retrieval	2013	440

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