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Supersparse Linear Integer Models for Predictive Scoring Systems

Supersparse Linear Integer Models for Predictive Scoring Systems

25 June 2013
Berk Ustun
Stefano Tracà
Cynthia Rudin
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
Interpretable Machine Learning: Fundamental Principles and 10 Grand
  Challenges
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaMLAI4CELRM
258
678
0
20 Mar 2021
Distributed Bayesian Piecewise Sparse Linear Models
Distributed Bayesian Piecewise Sparse Linear Models
M. Asahara
R. Fujimaki
40
0
0
07 Nov 2017
Learning Optimized Risk Scores
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
226
84
0
01 Oct 2016
Interpretable Classification Models for Recidivism Prediction
Interpretable Classification Models for Recidivism Prediction
J. Zeng
Berk Ustun
Cynthia Rudin
FaML
145
247
0
26 Mar 2015
1