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A Collaborative Approach to Time-Series Prediction
2011In this paper a collaborative filter combination for time-series prediction is considered. The basic idea is based on a convex combination of two kernel adaptive filters with different parameters. While the convergence of one filter is fast but not accurate, the convergence of the second one is much more accurate, even if slower. The convex combination
SCARPINITI, MICHELE +3 more
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Fuzzy Time Series Prediction Model
2011The main objective to design this proposed model is to overcome the drawbacks of the exiting approaches and derive more robust & accurate methodology to forecast data. This innovative soft computing time series model is designed by joint consideration of three key points (1) Event discretization of time series data (2 Frequency density based ...
Bindu Garg +3 more
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Small perturbations are enough: Adversarial attacks on time series prediction
Information Sciences, 2022Shaojie Qiao, Yanbing Liu
exaly
Interval prediction for chaotic time series.
2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BORDIGNON, SILVANO, LISI, FRANCESCO
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Temporal Convolutional Networks with RNN approach for chaotic time series prediction
Applied Soft Computing Journal, 2023Tulay Yildirim +2 more
exaly
Deterministic Method for the Prediction of Time Series
2016The business analyst is frequently forced to make decision using data on a certain business process obtained within a short time interval. Under these conditions, the analyst is not in a position to use traditional statistical methods and should be satisfied with experimental samples that are few in number.
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TSPred: A framework for nonstationary time series prediction
Neurocomputing, 2022Eduardo Bezerra +2 more
exaly
Information Granules-Based BP Neural Network for Long-Term Prediction of Time Series
IEEE Transactions on Fuzzy Systems, 2021Weina Wang, Hui Chen, Wanquan Liu
exaly
Multivariate Time Series Prediction Based on Temporal Change Information Learning Method
IEEE Transactions on Neural Networks and Learning Systems, 2023Jun Hu, Wendong Zheng
exaly