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. 1909.04373
  4. Cited By
GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs
v1v2 (latest)

GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs

10 September 2019
Zhendong Zhang
Cheolkon Jung
ArXiv (abs)PDFHTML

Papers citing "GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs"

7 / 7 papers shown
Title
Condensed Gradient Boosting
Condensed Gradient Boosting
S. Emami
Gonzalo Martínez-Munoz
55
4
0
26 Nov 2022
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput
  Problems
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
L. Iosipoi
Anton Vakhrushev
58
7
0
23 Nov 2022
Tree-Based Dynamic Classifier Chains
Tree-Based Dynamic Classifier Chains
E. Mencía
Moritz Kulessa
Simon Bohlender
Johannes Furnkranz
58
5
0
13 Dec 2021
Learning Multi-Layered GBDT Via Back Propagation
Learning Multi-Layered GBDT Via Back Propagation
Zhendong Zhang
AI4CE
45
0
0
24 Sep 2021
Gradient-based Label Binning in Multi-label Classification
Gradient-based Label Binning in Multi-label Classification
Michael Rapp
E. Mencía
Johannes Furnkranz
Eyke Hüllermeier
28
6
0
22 Jun 2021
Learning Gradient Boosted Multi-label Classification Rules
Learning Gradient Boosted Multi-label Classification Rules
Michael Rapp
E. Mencía
Johannes Furnkranz
Vu-Linh Nguyen
Eyke Hüllermeier
50
26
0
23 Jun 2020
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains
Simon Bohlender
Simon
E. Mencía
Eneldo
Moritz Kulessa
Moritz
AI4CE
36
4
0
15 Jun 2020
1