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Model-Agnostic Linear Competitors -- When Interpretable Models Compete
  and Collaborate with Black-Box Models

Model-Agnostic Linear Competitors -- When Interpretable Models Compete and Collaborate with Black-Box Models

23 September 2019
Hassan Rafique
Tong Wang
Qihang Lin
ArXivPDFHTML

Papers citing "Model-Agnostic Linear Competitors -- When Interpretable Models Compete and Collaborate with Black-Box Models"

2 / 2 papers shown
Title
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
29
485
0
12 Feb 2020
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
124
2,741
0
18 Aug 2015
1