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Sparse Density Trees and Lists: An Interpretable Alternative to
  High-Dimensional Histograms
v1v2v3v4v5 (latest)

Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms

22 October 2015
Siong Thye Goh
Lesia Semenova
Cynthia Rudin
    TPM
ArXiv (abs)PDFHTML

Papers citing "Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms"

3 / 3 papers shown
Title
Interpretable classifiers using rules and Bayesian analysis: Building a
  better stroke prediction model
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
Benjamin Letham
Cynthia Rudin
Tyler H. McCormick
D. Madigan
FAtt
72
745
0
05 Nov 2015
Density Estimation via Discrepancy Based Adaptive Sequential Partition
Density Estimation via Discrepancy Based Adaptive Sequential Partition
Dangna Li
Kun Yang
W. Wong
386
30
0
05 Apr 2014
Forest Density Estimation
Forest Density Estimation
Han Liu
Min Xu
Haijie Gu
Anupam Gupta
John D. Lafferty
Larry A. Wasserman
144
123
0
10 Jan 2010
1