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Learning Optimal Classification Trees: Strong Max-Flow Formulations

Learning Optimal Classification Trees: Strong Max-Flow Formulations

21 February 2020
S. Aghaei
A. Gómez
P. Vayanos
    AI4CE
ArXivPDFHTML

Papers citing "Learning Optimal Classification Trees: Strong Max-Flow Formulations"

5 / 5 papers shown
Title
Interpretable Decision Tree Search as a Markov Decision Process
Interpretable Decision Tree Search as a Markov Decision Process
Hector Kohler
R. Akrour
Philippe Preux
19
2
0
22 Sep 2023
Rolling Lookahead Learning for Optimal Classification Trees
Rolling Lookahead Learning for Optimal Classification Trees
Z. B. Organ
Enis Kayış
Taghi Khaniyev
15
0
0
21 Apr 2023
Optimal Decision Diagrams for Classification
Optimal Decision Diagrams for Classification
Alexandre M. Florio
P. Martins
Maximilian Schiffer
Thiago Serra
Thibaut Vidal
24
12
0
28 May 2022
On multivariate randomized classification trees: $l_0$-based sparsity,
  VC~dimension and decomposition methods
On multivariate randomized classification trees: l0l_0l0​-based sparsity, VC~dimension and decomposition methods
E. Amaldi
Antonio Consolo
A. Manno
15
1
0
09 Dec 2021
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
FaML
AI4CE
LRM
59
653
0
20 Mar 2021
1