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Building upon developments in theoretical and applied machine learning, as well as the efforts of various scholars including Guimera and Sales-Pardo (2011), Ruger et al.
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Segal, J. A. and Spaeth, H. J. (2002) · 2002
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Competing approaches to predicting supreme court decision making
Martin, A. D., Quinn, K. M., Ruger, T. W., and Kim, P. T. (2004) · 2004
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The supreme court forecasting project: Legal and political science approaches to predicting supreme court decisionmaking
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Tumor classification by tissue microarray profiling: random forest clustering applied to renal cell carcinoma
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Gene selection and classification of microarray data using random forest
Díaz-Uriarte, R. and De Andres, S. A. (2006) · 2006
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Extremely randomized trees
Geurts, P., Ernst, D., and Wehenkel, L. (2006) · 2006
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Institutions and equilibrium in the united states supreme court
Anderson IV, R. and Tahk, A. M. (2007) · 2007
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Assessing preference change on the us supreme court
Martin, A. D. and Quinn, K. M. (2007) · 2007
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Does legal doctrine matter? unpacking law and policy preferences on the us supreme court
Bailey, M. A. and Maltzman, F. (2008) · 2008
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An empirical evaluation of supervised learning in high dimensions
Caruana, R., Karampatziakis, N., and Yessenalina, A. (2008) · 2008
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Irrthum, A., Wehenkel, L., Geurts, P., et al. (2010) · 2010
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Justice blocks and predictability of us supreme court votes
Guimerà, R. and Sales-Pardo, M. (2011) · 2011
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Scikit-learn: Machine learning in Python
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Standing the test of time: The breadth of majority coalitions and the fate of us supreme court precedents
Benjamin, S. M. and Desmarais, B. A. (2012) · 2012
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Fantasyscotus: Crowdsourcing a prediction market for the supreme court
Blackman, J., Aft, A., and Carpenter, C. (2012) · 2012
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Is today’s court the most conservative in sixty years? challenges and opportunities in measuring judicial preferences
Bailey, M. A. (2013) · 2013
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Quantitative legal prediction – or – how i learned to stop worrying and start preparing for the data driven future of the legal services industry
Katz, D. M. (2013) · 2013
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