Probabilistic topic models
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Citation edge evidence
- Machine learning: Trends, perspectives, and prospects→Probabilistic topic modelsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Probabilistic topic modelsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Probabilistic topic modelsLegacy edge — source detail unavailable
- Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E…→Probabilistic topic modelsLegacy edge — source detail unavailable
- Stochastic variational inference→Probabilistic topic modelsLegacy edge — source detail unavailable
- Probabilistic topic models→Latent dirichlet allocationLegacy edge — source detail unavailable
- Probabilistic topic models→Indexing by latent semantic analysisLegacy edge — source detail unavailable
- Probabilistic topic models→An Introduction to Variational Methods for Graphical ModelsLegacy edge — source detail unavailable
- Probabilistic topic models→Neural Information Processing SystemsLegacy edge — source detail unavailable
- Probabilistic topic models→Hierarchical Dirichlet ProcessesLegacy edge — source detail unavailable
- Probabilistic topic models→Graphical Models, Exponential Families, and Variational InferenceLegacy edge — source detail unavailable
- Probabilistic topic models→Dynamic topic modelsLegacy edge — source detail unavailable
- Probabilistic topic models→Probabilistic Latent Semantic AnalysisLegacy edge — source detail unavailable
- Probabilistic topic models→Advances in Neural Information Processing Systems 21Legacy edge — source detail unavailable
- Probabilistic Latent Semantic Analysis→Indexing by latent semantic analysisLegacy edge — source detail unavailable
- Latent dirichlet allocation→An Introduction to Variational Methods for Graphical ModelsLegacy edge — source detail unavailable
- Latent dirichlet allocation→Indexing by latent semantic analysisLegacy edge — source detail unavailable
- Dynamic topic models→Latent dirichlet allocationLegacy edge — source detail unavailable
- Graphical Models, Exponential Families, and Variational Inference→An Introduction to Variational Methods for Graphical ModelsLegacy edge — source detail unavailable
- Graphical Models, Exponential Families, and Variational Inference→Latent dirichlet allocationLegacy edge — source detail unavailable
- Hierarchical Dirichlet Processes→Latent dirichlet allocationLegacy edge — source detail unavailable
- Stochastic variational inference→An Introduction to Variational Methods for Graphical ModelsLegacy edge — source detail unavailable
- Stochastic variational inference→Latent dirichlet allocationLegacy edge — source detail unavailable
- Stochastic variational inference→Dynamic topic modelsLegacy edge — source detail unavailable
- Stochastic variational inference→Graphical Models, Exponential Families, and Variational InferenceLegacy edge — source detail unavailable
- Stochastic variational inference→Hierarchical Dirichlet ProcessesLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→An Introduction to Variational Methods for Graphical ModelsLegacy edge — source detail unavailable
- Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E…→Latent dirichlet allocationLegacy edge — source detail unavailable
- Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E…→Machine learning: Trends, perspectives, and prospectsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→An Introduction to Variational Methods for Graphical ModelsLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Latent dirichlet allocationLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Graphical Models, Exponential Families, and Variational InferenceLegacy edge — source detail unavailable
- Variational Inference: A Review for Statisticians→Stochastic variational inferenceLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Latent dirichlet allocation | 2003 | 27,078 |
| Indexing by latent semantic analysis | 1990 | 12,850 |
| An Introduction to Variational Methods for Graphical Models | 1999 | 3,793 |
| Neural Information Processing Systems | 2018 | 3,765 |
| Hierarchical Dirichlet Processes | 2006 | 3,580 |
| Graphical Models, Exponential Families, and Variational Inference | 2007 | 3,171 |
| Dynamic topic models | 2006 | 2,414 |
| Probabilistic Latent Semantic Analysis | 2013 | 2,093 |
| Advances in Neural Information Processing Systems 21 | 2009 | 1,860 |
What cites it, inside the corpus
Links
Topics
| Topic Modeling | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Web Data Mining and Analysis | Computer Science |
Is this record sound?
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Nothing in this record contradicts itself and no field we check is missing.
- supports1 author record(s) attached.
- supports46 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
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