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1811.10192
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Tweedie Gradient Boosting for Extremely Unbalanced Zero-inflated Data
26 November 2018
H. Zhou
Yi Yang
W. Qian
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Papers citing
"Tweedie Gradient Boosting for Extremely Unbalanced Zero-inflated Data"
7 / 7 papers shown
Title
Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
Andrew Ma
Owen Dugan
Marin Soljacic
81
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06 Jan 2025
Zero-Inflated Tweedie Boosted Trees with CatBoost for Insurance Loss Analytics
Banghee So
Emiliano A. Valdez
35
1
0
23 Jun 2024
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Ioannis Nasios
Konstantinos Vogklis
AI4TS
62
9
0
19 Oct 2023
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
Xiaowei Gao
Xinke Jiang
Dingyi Zhuang
Huanfa Chen
Shenhao Wang
Stephen Law
James Haworth
89
10
0
10 Sep 2023
Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
Banghee So
15
13
0
15 Jul 2023
Identifying and Overcoming Transformation Bias in Forecasting Models
Sushant More
AI4TS
16
3
0
24 Aug 2022
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
Rohun A. Kshirsagar
Li-yen Hsu
Vatshank Chaturvedi
Charles H. Greenberg
Matthew McClelland
...
Ankit Chheda
Meredith V. Trotter
Shonket Ray
Arnold Lee
Miguel Alvarado
24
11
0
23 Sep 2020
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