Results 91 to 100 of about 80,914 (224)
Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation
Neural ComputationAbstract In recent years, using orthogonal matrices has been shown to be a promising approach to improving recurrent neural networks (RNNs) with training, stability, and convergence, particularly to control gradients. While gated recurrent unit (GRU) and long short-term memory (LSTM) architectures address the vanishing gradient problem ...
Edison Mucllari +4 more
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Evaluation of Gated Recurrent Unit in Arabic Diacritization [PDF]
International Journal of Advanced Computer Science and Applications, 2018 Recurrent neural networks are powerful tools giving excellent results in various tasks, including Natural Language Processing tasks. In this paper, we use Gated Recurrent Unit, a recurrent neural network implementing a simple gating mechanism in order to improve the diacritization process of Arabic. Evaluation of Gated Recurrent Unit for diacritization
Rajae Moumen +3 more
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Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models
, 2017 The abstraction tasks are challenging for multi- modal sequences as they require a deeper semantic understanding and a novel text generation for the data. Although the recurrent neural networks (RNN) can be used to model the context of the time-sequences,
Cangelosi, Angelo +2 more
core
An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation
ISPRS International Journal of Geo-Information, 2019 Point-of-interest (POI) recommendation is one of the fundamental tasks for location-based social networks (LBSNs). Some existing methods are mostly based on collaborative filtering (CF), Markov chain (MC) and recurrent neural network (RNN).
Chunyang Liu +5 more
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Surrey-cvssp system for DCASE2017 challenge task4 [PDF]
, 2017 In this technique report, we present a bunch of methods for the task 4 of Detection and Classification of Acoustic Scenes and Events 2017 (DCASE2017) challenge.
Kong, Qiuqiang +3 more
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Quantum Recurrent Neural Networks: Predicting the Dynamics of Oscillatory and Chaotic Systems
AlgorithmsIn this study, we investigate Quantum Long Short-Term Memory and Quantum Gated Recurrent Unit integrated with Variational Quantum Circuits in modeling complex dynamical systems, including the Van der Pol oscillator, coupled oscillators, and the Lorenz ...
Yuan Chen, Abdul Khaliq
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Application of Gated Recurrent Units for CT Trajectory Optimization
CoRR4 pages, 6 ...
Yuedong Yuan +2 more
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Frontiers in Energy ResearchAddressing the complex challenges in dynamic production forecasting for the deep-ultra-deep fractured carbonate reservoirs in the Tarim Basin’s Tahe Oilfield, characterized by numerous influencing factors, strong temporal variations, high non-linearity ...
Ziyan Deng +7 more
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Recurrent Neural Networks For Accurate RSSI Indoor Localization
, 2019 This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi. Instead of locating user's position one at a time as in the cases of conventional algorithms, our RNN solution aims at trajectory positioning and ...
Dong, Xiaodai +5 more
core
Seismic phase recognition model with low SNR based on U-net
Geomatics, Natural Hazards & RiskAiming at the problem of low recognition accuracy and high missed detection rate of seismic phase recognition of low signal-to-noise ratio seismic signals, a new seismic phase recognition model UBAN (U-net-Bidirectional Gated Recurrent Unit-Attention ...
Jianxian Cai +5 more
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