ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.12652
  4. Cited By
MurTree: Optimal Classification Trees via Dynamic Programming and Search

MurTree: Optimal Classification Trees via Dynamic Programming and Search

24 July 2020
Emir Demirović
Anna Lukina
E. Hébrard
Jeffrey Chan
James Bailey
C. Leckie
K. Ramamohanarao
Peter James Stuckey
ArXivPDFHTML

Papers citing "MurTree: Optimal Classification Trees via Dynamic Programming and Search"

6 / 6 papers shown
Title
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
Shurong Wang
Zhuoyang Shen
Xinbao Qiao
Tongning Zhang
Meng Zhang
MU
16
0
0
02 Oct 2024
Distilling interpretable causal trees from causal forests
Distilling interpretable causal trees from causal forests
Patrick Rehill
CML
16
0
0
02 Aug 2024
Interpretable Decision Tree Search as a Markov Decision Process
Interpretable Decision Tree Search as a Markov Decision Process
Hector Kohler
R. Akrour
Philippe Preux
8
2
0
22 Sep 2023
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint
  Satisfaction
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
16
2
0
02 Mar 2023
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
11
2
0
21 Apr 2021
Born-Again Tree Ensembles
Born-Again Tree Ensembles
Thibaut Vidal
Toni Pacheco
Maximilian Schiffer
45
53
0
24 Mar 2020
1