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Concept Tree: High-Level Representation of Variables for More
  Interpretable Surrogate Decision Trees

Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees

4 June 2019
X. Renard
Nicolas Woloszko
Jonathan Aigrain
Marcin Detyniecki
ArXivPDFHTML

Papers citing "Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees"

2 / 2 papers shown
Title
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
101
3,922
0
06 Feb 2018
Correlated variables in regression: clustering and sparse estimation
Correlated variables in regression: clustering and sparse estimation
Peter Buhlmann
Philipp Rutimann
Sara van de Geer
Cun-Hui Zhang
167
182
0
26 Sep 2012
1