Rudin, Cynthia - Sloan School of Management, Massachusetts Institute of Technology (MIT)

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Rudin, Cynthia - Sloan School of Management, Massachusetts Institute of Technology (MIT)

Report Cards for Manholes : Eliciting Expert Feedback for a Learning Task Axinia Radeva1
Estimation of System Reliability Using a Semiparametric Model
The Rate of Convergence of AdaBoost Indraneel Mukherjee
Proceedings of the 5th INFORMS Workshop on Data Mining and Health Informatics (DM-HI 2010)
A Different Type of Convergence for Statistical Learning Cynthia Rudin
Visualization of Manhole and Precursor-Type Events for the Manhattan Electrical Distribution System
Sequential Event Prediction with Association Rules Cynthia Rudin
Contemporary Mathematics Precise Statements of Convergence for AdaBoost and arc-gv
Equilibrium island ridge arrays in strained solid films C. D. Rudin and B. J. Spencera)
Mach Learn (2010) 80: 131 DOI 10.1007/s10994-009-5166-y
Machine Learning and the Traveling Repairman Theja Tulabandhula theja@mit.edu
Submitted to the Annals of Applied Statistics arXiv: math.PR/0000000
Journal of Machine Learning Research 10 (2009) 2233-2271 Submitted 4/08; Revised 10/08; Published 10/09 The P-Norm Push: A Simple Convex Ranking Algorithm that
The Annals of Statistics 2007, Vol. 35, No. 6, 27232768
Boosting Based on a Smooth Margin Cynthia Rudin1
Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking
Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus
Journal of Machine Learning Research 5 (2004) 15571595 Submitted 3/2004; Published 12/2004 The Dynamics of AdaBoost
Journal of Machine Learning Research 10 (2009) 2193-2232 Submitted 2/08; Revised 7/09; Published 10/09 Margin-based Ranking and an Equivalence
Ranking with a P-Norm Push Cynthia Rudin
Evaluating Machine Learning for Improving Power Grid Reliability Leon Wu leon@cs.columbia.edu
On the Dynamics of Boosting Cynthia Rudin Ingrid Daubechies
Treatment Effect of Repairs to an Electrical Grid Leveraging a Machine Learned Model of Structure Vulnerability
Machine Learning for the New York City Power Grid
A Learning Theory Framework for Association Rules and Sequential Events A Learning Theory Framework for Association Rules and
The Machine Learning and Traveling Repairman Theja Tulabandhula, Cynthia Rudin, and Patrick Jaillet
Data Quality Assurance and Performance Measurement of Data Mining for Preventive Maintenance of Power Grid
103JUNE 2011 DISCOVERY ANALYTICS