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Optimizing Ensemble Weights and Hyperparameters of Machine Learning
  Models for Regression Problems

Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems

14 August 2019
Mohsen Shahhosseini
Guiping Hu
Hieu H. Pham
ArXivPDFHTML

Papers citing "Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems"

5 / 5 papers shown
Title
Regularized boosting with an increasing coefficient magnitude stop
  criterion as meta-learner in hyperparameter optimization stacking ensemble
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble
Laura Fdez-Díaz
J. R. Quevedo
E. Montañés
29
3
0
02 Feb 2024
Practical Knowledge Distillation: Using DNNs to Beat DNNs
Practical Knowledge Distillation: Using DNNs to Beat DNNs
Chungman Lee
Pavlos Anastasios Apostolopulos
Igor L. Markov
FedML
24
1
0
23 Feb 2023
Data-Centric Epidemic Forecasting: A Survey
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez
Harshavardhan Kamarthi
Pulak Agarwal
Javen Ho
Mira Patel
Suchet Sapre
B. Prakash
OOD
31
18
0
19 Jul 2022
An ensemble-based approach by fine-tuning the deep transfer learning
  models to classify pneumonia from chest X-ray images
An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images
Sagar Kora Venu
LM&MA
16
20
0
11 Nov 2020
Forecasting Corn Yield with Machine Learning Ensembles
Forecasting Corn Yield with Machine Learning Ensembles
Mohsen Shahhosseini
Guiping Hu
S. Archontoulis
29
167
0
18 Jan 2020
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