Cynthia D Rudin — all works
- Approximating the Crowd with a Budget ↗OpenMETU (Middle East Technical University) · no summary yetŞeyda Ertekin, Cynthia D Rudin, Haym Hirsh2014
- License Creative Commons BY 3.0 Unported license ↗no summary yetJohannes Fürnkranz et al.2014
- A Statistical Learning Theory Framework for Supervised Pattern Discovery ↗SIAM International Conference on Data Mining · no summary yetJonathan H. Huggins, Cynthia D Rudin2014
- On Equivalence Relationships Between Classification and Ranking Algorithms ↗no summary yetCitable Link, Cynthia D Rudin, Yoav Freund2014
- Generalization Bounds for Learning with Linear and Quadratic Side Knowledge. ↗ISAIM · no summary yetTheja Tulabandhula, Cynthia D Rudin2014
- arXiv Manuscript No.1306.6677 Supersparse Linear Integer Models for Interpretable Classification ↗no summary yetBerk Ustun et al.2014
- Methods and models for interpretable linear classification. ArXiv ↗no summary yetBerk Ustun, Cynthia D Rudin2014
- Machine Aggregation of Human Judgment Selective Sampling of Labelers for Approximating the Crowd ↗no summary yetHaym Hirsh, Cynthia D Rudin2013
- Machine learning for meeting analysis ↗National Conference on Artificial Intelligence · no summary yetBeen Kim, Cynthia D Rudin2013
- Building Interpretable Classifiers with Rules using Bayesian Analysis ↗no summary yetBenjamin Letham et al.2013
- Noname manuscript No. (will be inserted by the editor) Growing a List ↗no summary yetBenjamin Letham et al.2013
- the proofs of our main theoretical results, Proposition 1 and Theorem 1. ↗no summary yetBenjamin Letham et al.2013
- (doi:10.1007/s10618-014-0354-1) contains supplementary material, which is available to authorized users. ↗no summary yetCynthia D Rudin et al.2013
- Noname manuscript No. (will be inserted by the editor) Sequential event prediction ↗no summary yetBenjamin Letham, Cynthia D Rudin, Benjamin Letham2012
- 24th Annual Conference on Learning Theory The Rate of Convergence of Adaboost ↗no summary yetIndraneel Mukherjee et al.2012
- 24th Annual Conference on Learning Theory Sequential Event Prediction with Association Rules ↗no summary yetCynthia D Rudin et al.2012
- A Learning Theory Framework for Association Rules and Sequential Events A Learning Theory Framework for Association Rules and Sequential Events ↗no summary yetCynthia D Rudin, Benjamin Letham, David Madigan2012
- Machine Learning for the ↗no summary yetCynthia D Rudin et al.2012
- Teaching \Prediction: Machine Learning and Statistics" ↗no summary yetCynthia D Rudin2012
- Data Quality Assurance and Performance Measurement of Data Mining for Preventive Maintenance of Power Grid ABSTRACT ↗no summary yetLeon Wu et al.2012
- ORDERED RULES FOR CLASSIFICATION: A DISCRETE OPTIMIZATION APPROACH TO ASSOCIATIVE CLASSIFICATION ↗no summary yetDimitris Bertsimas, Allison Chang, Cynthia D Rudin2011
- Approximating the Wisdom of the Crowd ↗no summary yetHaym Hirsh, Cynthia D Rudin2011
- (will be inserted by the editor) Sequential event prediction ↗no summary yetBenjamin Letham et al.2011
- Statistical Thinking and Data Analysis (PDF) ↗no summary yetCynthia D Rudin2011
- Machine Learning and the Traveling Repairman ↗arXiv (Cornell University) · no summary yetTheja Tulabandhula, Cynthia D Rudin, Patrick Jaillet2011
- DOI 10.1007/s10994-009-5166-y A process for predicting manhole events in Manhattan ↗no summary yetCynthia D Rudin et al.2010
- A different type of convergence for statistical learning algorithms ↗no summary yetCynthia D Rudin2004
- Analysis of boosting algorithms using the smooth margin function, Annals of Statistics ↗no summary yetCynthia D Rudin, Robert E. Schapire, Ingrid Daubechies2003
This page in Markdown → https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/works/page/4/