Results 311 to 320 of about 32,651,636 (362)
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Mixture-of-Linear-Experts for Long-term Time Series Forecasting
International Conference on Artificial Intelligence and Statistics, 2023Long-term time series forecasting (LTSF) aims to predict future values of a time series given the past values. The current state-of-the-art (SOTA) on this problem is attained in some cases by linear-centric models, which primarily feature a linear ...
Ronghao Ni +3 more
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IEEE transactions on fuzzy systems, 2022
The existing long-term time-series forecasting methods based on the neural networks suffer from multiple limitations, such as accumulated errors and diminishing temporal correlation, which compromise the prediction quality. To overcome these shortcomings,
Yuqing Tang +5 more
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The existing long-term time-series forecasting methods based on the neural networks suffer from multiple limitations, such as accumulated errors and diminishing temporal correlation, which compromise the prediction quality. To overcome these shortcomings,
Yuqing Tang +5 more
semanticscholar +1 more source
The Trend-Fuzzy-Granulation-Based Adaptive Fuzzy Cognitive Map for Long-Term Time Series Forecasting
IEEE transactions on fuzzy systems, 2022One drawback of using the existing one-step forecasting models for long-term time series prediction is the cumulative errors caused by iterations. In order to overcome this shortcoming, this article proposes a trend-fuzzy-granulation-based adaptive fuzzy
Yihan Wang +6 more
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International Journal of Computational Mathematics, 2022
In this paper, we study a high-order unconditionally stable numerical method to approximate the class of multi-term time-fractional diffusion equations.
Mohammad Prawesh Alam +2 more
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In this paper, we study a high-order unconditionally stable numerical method to approximate the class of multi-term time-fractional diffusion equations.
Mohammad Prawesh Alam +2 more
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Terms in Time and Times in Context
Proceedings of the 24th International Conference on World Wide Web, 2015Approaches in support of the extraction and exploration of temporal information in documents provide an important ingredient in many of today's frameworks for text analysis. Methods range from basic techniques, primarily the extraction of temporal expressions and events from documents, to more sophisticated approaches such as ranking of documents with ...
Michael Gertz +3 more
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Inverse Problems, 2021
In the present paper, we devote our effort to a nonlinear inverse problem for simultaneously recovering the potential function and the fractional orders in a multi-term time-fractional diffusion equation from the noisy boundary Cauchy data in the one ...
Liangliang Sun, Y. Li, Yun-Huang Zhang
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In the present paper, we devote our effort to a nonlinear inverse problem for simultaneously recovering the potential function and the fractional orders in a multi-term time-fractional diffusion equation from the noisy boundary Cauchy data in the one ...
Liangliang Sun, Y. Li, Yun-Huang Zhang
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Term Pregnancy: Time for a Redefinition
Clinics in Perinatology, 2011The designation term pregnancy and the distinction between term, preterm, and postterm pregnancy carry with them significant clinical implications with respect to the management of pregnancy complications. Although the potential hazards of both preterm birth and postterm pregnancy have been long recognized, little attention has, until recently, been ...
Steven L. Clark, Alan R. Fleischman
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