Results 31 to 40 of about 20,859 (261)
Dynamic slate recommendation with gated recurrent units and Thompson sampling [PDF]
AbstractWe consider the problem of recommending relevant content to users of an internet platform in the form of lists of items, called slates. We introduce a variational Bayesian Recurrent Neural Net recommender system that acts on time series of interactions between the internet platform and the user, and which scales to real world industrial ...
Simen Eide +2 more
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Convolutional Gated Recurrent Units for Medical Relation Classification [PDF]
Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for relation classification. We propose a unified architecture, which exploits the advantages of CNN and RNN simultaneously, to identify medical relations in clinical records, with only word embedding features.
Bin He 0005, Yi Guan, Rui Dai
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DS-GAU: Dual-sequences gated attention unit architecture for text-independent speaker verification
Text-independent speaker verification provides people identified from their voice characteristics. In this paper, we propose a new method, Dual-Sequences Gate Attention Unit to improve the accuracy of a massive speaker verification system. Dual-Sequences
Tsung-Han Tsai, Tran Dang Khoa
doaj +1 more source
Identifying Essential Proteins by Hybrid Deep Learning Model [PDF]
Essential proteins are those proteins that are essential to the viability of the organism.The identification of essential proteins helps to understand the minimum requirements of cell life,discover disease-causing genes and drug targets,and is of great ...
LIU Wen-yang, GUO Yan-bu, LI Wei-hua
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Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network
Visual inspection of long-term electroencephalography (EEG) is a tedious task for physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural network, an automatic seizure detection method is proposed in this paper to facilitate ...
Yanli Zhang +7 more
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Pedestrian Tracking with Gated Recurrent Units and Attention Mechanisms [PDF]
Pedestrian tracking has long been considered an important problem, especially in security applications. Previously,many approaches have been proposed with various types of sensors. One popular method is Pedestrian Dead Reckoning(PDR) [1] which is based on the inertial measurement unit(IMU) sensor.
Mahdi Elhousni, Xinming Huang 0001
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Temperature Prediction for Reheating Furnace by Gated Recurrent Unit Approach
Reheating furnaces are used to homogeneously reheat the steel stock (Billets, blooms or slabs) at a temperature between 1000°C and 1250°C before hot rolling.
Chien-Jung Chen +2 more
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This paper proposes a robust framework for cryptocurrency price forecasting by integrating technical indicators, genetic algorithm based feature selection, and hybrid deep learning models. Technical indicators capture historical patterns, while a genetic
Susrita Mahapatro +2 more
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A Gated Recurrent Unit Approach to Bitcoin Price Prediction [PDF]
In today’s era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin price and volatility.
Dutta, Aniruddha +2 more
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Multi-modal gated recurrent units for image description [PDF]
Using a natural language sentence to describe the content of an image is a challenging but very important task. It is challenging because a description must not only capture objects contained in the image and the relationships among them, but also be relevant and grammatically correct.
Xuelong Li 0001 +2 more
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