The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Large-Scale Bayesian Logistic Regression for Text Categorization
Abstract
Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications. We present a simple Bayesian logistic regression approach that uses a Laplace prior to avoid overfitting and produces sparse predictive models for text data. We apply this approach to a range of document classification problems and show that it produces compact predictive models at least as effective as those produced by support vector machine classifiers or ridge logistic regression combined with feature selection. We describe our model fitting algorithm, our open source implementations (BBR and BMR), and experimental results.
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Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Automatic Indexing: An Experimental Inquiry
Maron, M. E. (1961) · Journal of the ACM · doi:10.1145/321075.321084 · Cited by 570 · cited 2×
“Examples include naive Bayes (Maron 1961; Lewis 1998) and the Rocchio algorithm (Rocchio 1971).”
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Cited by
The WEKA data mining software: an update
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1656274.1656278 · Cited by 17,750
The Development and Psychometric Properties of LIWC2015
Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015) · University of Texas at Austin · doi:10.15781/t25p41 · Cited by 1,674
Text Classification Algorithms: A Survey
Kowsari, K., Jafari Meimandi, K., Heidarysafa, M., Mendu, S., Barnes, L., & Brown, D. (2019) · Information · doi:10.3390/info10040150 · Cited by 1,312
Marketing Analytics for Data-Rich Environments
Wedel, M., & Kannan, P. K. (2016) · Journal of Marketing · doi:10.1509/jm.15.0413 · Cited by 1,261
Optimization with Sparsity-Inducing Penalties
Bach, F., Jenatton, R., Mairal, J., & Obozinski, G. (2025) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000015 · Cited by 730
Metadata
- Authors
- Genkin, A., Lewis, D. D., & Madigan, D.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 2007-08
- Volume
- 49
- Issue
- 3
- Pages
- 291-304
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2166183437
- Cited by
- 808
- References
- 3
- FWCI
- 58.70
- Type
- journal article
- Language
- en
- Open access
- closed
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