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A Novel Hyperparameter-free Approach to Decision Tree Construction that
  Avoids Overfitting by Design

A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design

4 June 2019
Rafael García Leiva
Antonio Fernández Anta
Vincenzo Mancuso
Paolo Casari
    TPM
ArXiv (abs)PDFHTML

Papers citing "A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design"

3 / 3 papers shown
Title
Landslide Susceptibility Modeling by Interpretable Neural Network
Landslide Susceptibility Modeling by Interpretable Neural Network
Khaled Youssef
K. Shao
S. Moon
Louis-S. Bouchard
23
49
0
18 Jan 2022
Automated Human Activity Recognition by Colliding Bodies
  Optimization-based Optimal Feature Selection with Recurrent Neural Network
Automated Human Activity Recognition by Colliding Bodies Optimization-based Optimal Feature Selection with Recurrent Neural Network
Pankaj Khatiwada
Ayan Chatterjee
Matrika Subedi
28
0
0
07 Oct 2020
Explainable Matrix -- Visualization for Global and Local
  Interpretability of Random Forest Classification Ensembles
Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles
Mário Popolin Neto
F. Paulovich
FAtt
83
89
0
08 May 2020
1