Sparsity in Topic Models

This chapter contains sections titled: 1 PLSA and Sparsity Issue, 2 Matrix Factorization Methods, 3 Sparsity in LDA and HDP, 4 Information-Theoretic Sparsity Methods, 5 Probabilistic Latent Sequential Motif Model, 6 Experiments on Synthetic Data, 7 Scene Activity Patterns, Notes, References

Saved in:
Bibliographic Details
Published inPractical Applications of Sparse Modeling
Format Book Chapter
LanguageEnglish
Published United States MIT Press 2014
The MIT Press
SeriesNeural Information Processing series
Subjects
Computer Science
Machine learning
Machine Learning & Neural Networks
Neuroscience
Online AccessGet full text
ISBN0262027720
9780262027724
DOI10.7551/mitpress/9333.003.0012

Cover

More Information
Summary:This chapter contains sections titled: 1 PLSA and Sparsity Issue, 2 Matrix Factorization Methods, 3 Sparsity in LDA and HDP, 4 Information-Theoretic Sparsity Methods, 5 Probabilistic Latent Sequential Motif Model, 6 Experiments on Synthetic Data, 7 Scene Activity Patterns, Notes, References
ISBN:0262027720
9780262027724
DOI:10.7551/mitpress/9333.003.0012