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Benchmarking and Optimization of Gradient Boosting Decision Tree
  Algorithms
v1v2v3 (latest)

Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms

12 September 2018
Andreea Anghel
N. Papandreou
Thomas Parnell
Alessandro De Palma
H. Pozidis
ArXiv (abs)PDFHTML

Papers citing "Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms"

5 / 5 papers shown
Title
Machine Learning For An Explainable Cost Prediction of Medical Insurance
Machine Learning For An Explainable Cost Prediction of Medical Insurance
U. Orji
Elochukwu A. Ukwandu
58
35
0
23 Nov 2023
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes
  Heterogeneous Feature Interaction
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
Jiahuan Yan
Jintai Chen
YiXuan Wu
Danny Chen
Jian Wu
93
39
0
30 Nov 2022
DANets: Deep Abstract Networks for Tabular Data Classification and
  Regression
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
Jintai Chen
Kuan-Yu Liao
Yao Wan
Danny Chen
Jian Wu
LMTD
142
58
0
06 Dec 2021
Light Gradient Boosting Machine as a Regression Method for Quantitative
  Structure-Activity Relationships
Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships
R. Sheridan
Andy Liaw
M. Tudor
AI4CE
27
10
0
28 Apr 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov
S. Morozov
Artem Babenko
LMTD
170
318
0
13 Sep 2019
1