E. S. Adler and J. Wilkerson, Congressional Bills Project, 2004.

F. Baumgartner, S. D. Boef, and A. Boydstun, The Decline of the Death Penalty and the Discovery of Innocence, 2008.

L. Collingwood and J. Wilkerson, Tradeoffs in accuracy and efficiency in supervised learning methods, Journal of Information Technology & Politics, vol.9, issue.3, pp.298-318, 2012.

I. Feinerer, K. Hornik, and D. Meyer, Text mining infrastructure in R, Journal of Statistical Software, vol.25, issue.5, pp.1-54, 2008.

J. Friedman, T. Hastie, and R. Tibshirani, Regularization paths for generalized linear models via coordinate descent, Journal of Statistical Software, vol.33, issue.1, 2010.

B. Jones, H. Larsen-price, and J. Wilkerson, Representation and American governing institutions, The Journal of Politics, vol.71, issue.01, pp.277-290, 2009.

T. P. Jurka, maxent: An R package for low-memory multinomial logistic regression with support for semi-automated text classification, The R Journal, vol.4, issue.1, pp.56-59, 2012.

A. Liaw and M. Wiener, Classification and regression by randomForest. R News, vol.2, issue.3, pp.18-22, 2002.

M. Mclaughlin and J. Herlocker, A collaborative filtering algorithm and evaluation metric that accurately model the user experience, Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.329-336, 2004.

D. Meyer, E. Dimitriadou, K. Hornik, A. Weingessel, F. Leisch et al., e1071: Misc Functions of the Department of Statistics (e1071), 2012.

A. Peters and T. Hothorn, ipred: Improved Predictors, 2012.

B. Ripley, tree: Classification and Regression Trees, 2012.

M. Sokolova, N. Japkowicz, and S. Szpakowicz, Beyond accuracy, F-score and ROC: a family of discriminant measures for performance evaluation, AI 2006: Advances in Artificial Intelligence, pp.1015-1021, 2006.

J. Tuszynski, ;. Gif, . Base64, and E. Auc, caTools: Tools: Moving Window Statistics, 2012.

W. Venables and B. Ripley, Modern Applied Statistics with S, 2002.