Sökning: "Gated Recurrent Network"

Visar resultat 1 - 5 av 34 uppsatser innehållade orden Gated Recurrent Network.

1. 1. Safe Reinforcement Learning for Social Human-Robot Interaction : Shielding for Appropriate Backchanneling Behavior

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mohamed Akif; [2023]
   Nyckelord :Human-Robot Interaction; Backchanneling; Social Robots; Safe Reinforcement Learning; Shielding; Recurrent Neural Network; Gated Recurrent Unit; Människa-Robot Interaktion; Uppbackning; Sociala Robotar; Säker Förstärkningsinlärning; Avskärmning; Återkommande Neurala Nätverk; Gated Återkommande Enhet;

   Sammanfattning : Achieving appropriate and natural backchanneling behavior in social robots remains a challenge in Human-Robot Interaction (HRI). This thesis addresses this issue by utilizing methods from Safe Reinforcement Learning in particular shielding to improve social robot backchanneling behavior. LÄS MER

3. 2. An Artificial Neural Network Approach to Algorithmic Trading

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Timmie Bengtsson; [2023]
   Nyckelord :Financial Markets; Machine Learning; Long Short-Term Memory; Gated Recurrent Unit; Recurrent Neural Networks; Time Series Analysis; Algorithmic Trading; Mathematics and Statistics;

   Sammanfattning : The field of machine learning has advanced significantly in recent decades, and, at the same time, computational power has improved to the point where training large machine learning models, such as artificial neural networks, is now accessible. Consequently, there has been a rise in the use of these models within the financial sector, with some firms leveraging them to assist with investment decisions. LÄS MER

4. 3. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Hugo Ekinge; [2023]
   Nyckelord :Machine learning; GRU; 1D-CNN; Transformer; log analysis; parameter estimation; regression; performance monitoring; deep learning; troubleshooting; support; Maskininlärning; GRU; 1D-CNN; Transformer; logganalys; parameteruppskattning; regression; prestandaövervakning; djupinlärning; felsökning; support;

   Sammanfattning : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. LÄS MER

5. 4. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Fredrik Kortetjärvi; Rohullah Khorami; [2023]
   Nyckelord :Graph Neural Network;

   Sammanfattning : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. LÄS MER

7. 5. Telecom Fraud Detection Using Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Chao Xiong; [2022]
   Nyckelord :Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

   Sammanfattning : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. LÄS MER