A framework for benchmarking machine learning methods using linear models for univariate time series prediction
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7958416/7965814/07966139.pdf?arnumber=7966139
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models;Transactions on Large-Scale Data- and Knowledge-Centered Systems LIV;2023
2. TSPred: A framework for nonstationary time series prediction;Neurocomputing;2022-01
3. Nonstationary time series transformation methods: An experimental review;Knowledge-Based Systems;2019-01
4. Prediction of Electroencephalogram Time Series via Artificial Neuro-Fuzzy Inference System Trained by League Championship Algorithm;Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems;2018
5. Variable Selection in Time Series Forecasting Using Random Forests;Algorithms;2017-10-04
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