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Supersparse Linear Integer Models for Predictive Scoring Systems

Supersparse Linear Integer Models for Predictive Scoring Systems

AAAI Conference on Artificial Intelligence (AAAI), 2013
25 June 2013
Berk Ustun
Stefano Tracà
Cynthia Rudin
ArXiv (abs)PDFHTML

Papers citing "Supersparse Linear Integer Models for Predictive Scoring Systems"

6 / 6 papers shown
Robust support vector machines via conic optimization
Robust support vector machines via conic optimization
Valentina Cepeda
Andrés Gómez
Shaoning Han
287
0
0
02 Feb 2024
FasterRisk: Fast and Accurate Interpretable Risk Scores
FasterRisk: Fast and Accurate Interpretable Risk ScoresNeural Information Processing Systems (NeurIPS), 2022
Jiachang Liu
Chudi Zhong
Boxuan Li
Margo Seltzer
Cynthia Rudin
287
39
0
12 Oct 2022
Interpretable Machine Learning: Fundamental Principles and 10 Grand
  Challenges
Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesStatistics Survey (Stat. Surv.), 2021
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaMLAI4CELRM
531
918
0
20 Mar 2021
Distributed Bayesian Piecewise Sparse Linear Models
Distributed Bayesian Piecewise Sparse Linear Models
M. Asahara
R. Fujimaki
182
0
0
07 Nov 2017
Learning Optimized Risk Scores
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
912
99
0
01 Oct 2016
Interpretable Classification Models for Recidivism Prediction
Interpretable Classification Models for Recidivism Prediction
J. Zeng
Berk Ustun
Cynthia Rudin
FaML
801
264
0
26 Mar 2015
1
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