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Social Media as an Emotional Barometer: Bidirectional Encoder Representations From Transformers-Long Short-Term Memory Sentiment Analysis on the Evolution of Public Sentiments During Influenza A on Sina Weibo.

J Med Internet Res
Ou Y, de Bruijn GJ, Schulz PJ.
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A Modified Long Short-Term Memory Cell

International Journal of Neural Systems, 2023
Machine Learning (ML), among other things, facilitates Text Classification, the task of assigning classes to textual items. Classification performance in ML has been significantly improved due to recent developments, including the rise of Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRUs), and Transformer ...
Giannis, Haralabopoulos, Gerasimos, Razis, Ioannis, Anagnostopoulos   +2 more
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Long Short-Term Memory

Neural Computation, 1997
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficient, gradient based method called long short-term memory (LSTM ...
S, Hochreiter, J, Schmidhuber
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Long Short-Term Memory Models

2019
In this chapter, you will learn about recurrent neural networks and long short-term memory models. You will also learn how LSTMs work and how they can be used to detect anomalies and how you can implement anomaly detection using LSTM. You will work through several datasets depicting time series of different types of data such as CPU utilization, taxi ...
Suman Kalyan Adari, Sridhar Alla
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Long short-term memory with activation on gradient

Neural Networks, 2023
As the number of long short-term memory (LSTM) layers increases, vanishing/exploding gradient problems exacerbate and have a negative impact on the performance of the LSTM. In addition, the ill-conditioned problem occurs in the training process of LSTM and adversely affects its convergence.
Chuan Qin, Liangming Chen, Zangtai Cai, Mei Liu, Long Jin   +4 more
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Immediate Memory for Faces: Long- or Short-Term Memory?

Quarterly Journal of Experimental Psychology, 1973
Immediate recognition memory span and short-term forgetting for non-verbal stimuli (“unfamiliar faces”) were investigated in normal subjects and amnesic patients. Surnames were used as a verbal control. It was found that normal subjects had a reliable immediate recognition span of one for faces and that there was no decrement in performance in the ...
E K, Warrington, A M, Taylor
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Reference evapotranspiration estimation using long short‐term memory network and wavelet‐coupled long short‐term memory network

Irrigation and Drainage, 2022
AbstractEvapotranspiration (ET) is a vital component of the hydrological cycle, and accurate estimation of reference evapotranspiration (ET0) is of great importance in agriculture water resources planning and management. In this study, long short‐term memory network (LSTM), artificial neural network (ANN), extreme learning machine (ELM), and their ...
Xiaoxu Long, Jiandong Wang, Shihong Gong, Guangyong Li, Hui Ju   +4 more
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Long Short-Term Memory

2012
As discussed in the previous chapter, an important benefit of recurrent neural networks is their ability to use contextual information when mapping between input and output sequences. Unfortunately, for standard RNN architectures, the range of context that can be in practice accessed is quite limited.
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Short-term, intermediate-term, and long-term memories

Behavioural Brain Research, 1993
This paper focuses on the temporal dimension of memory formation and storage. Is the usual two-fold separation between short-term memory (STM) and long-term memory (LTM) sufficient to encompass all the phenomena of memory? The traditional view is that STM grades into LTM.
M R, Rosenzweig, E L, Bennett, P J, Colombo, D W, Lee, P A, Serrano   +4 more
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