Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting

2 March 2022

Papers citing "Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting"

10 / 10 papers shown

Title
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality Grzegorz Dudek AI4TS 72 1 0 11 Apr 2025
An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting Georgios Mitrentsis H. Lens 26 107 0 05 Aug 2021
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting Grzegorz Dudek Paweł Pełka AI4TS 35 1 0 08 Jul 2021
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality Grzegorz Dudek BDL AI4TS 55 4 0 04 Jul 2021
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It Grzegorz Dudek 27 8 0 16 Aug 2019
Diversity and degrees of freedom in regression ensembles Henry W. J. Reeve Gavin Brown UQCV 48 22 0 01 Mar 2018
A Method of Generating Random Weights and Biases in Feedforward Neural Networks with Random Hidden Nodes Grzegorz Dudek 36 46 0 13 Oct 2017
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 128 951 0 01 Apr 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 807 38,961 0 09 Mar 2016
Horizontal and Vertical Ensemble with Deep Representation for Classification Jingjing Xie Bing Xu Chuang Zhang SSL 105 76 0 12 Jun 2013