Essays about: "gated recurrent unit"
Showing result 21 - 25 of 44 essays containing the words gated recurrent unit.
-
21. Artificial Value-at-Risk : Using Neural Networks to Replicate Filtered Historical Simulation for Value-at-Risk Calculations
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Since financial markets are considered risky, there is a need to have credible tools that can estimate these risks. For a Central Clearing Counterparty it is of utmost importance to conduct accurate estimations of its members’ risk exposures to deter-mine their margin requirements. READ MORE
-
22. Natural Language Understanding for Multi-Level Distributed Intelligent Virtual Sensors
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : In our thesis we explore the Automatic Question/Answer Generation (AQAG) and the application of Machine Learning (ML) in natural language queries. Initially we create a collection of question/answer tuples conceptually based on processing received data from (virtual) sensors placed in a smart city. READ MORE
-
23. Exploiting Leap Motion and Microsoft Kinect Sensors for Static and Dynamic Sign Gesture Recognition
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : One of the primary ways of communication between humans is verbal communication. Among hearing-impaired persons, the traditional way of communication is through sign language. Sign gestures are the atomic actions used in sign language for non-verbal communication. READ MORE
-
24. Context-based Multimodal Machine Learning on Game Oriented Data for Affective State Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Affective computing is an essential part of Human-Robot Interaction, where knowing the human’s emotional state is crucial to create an interactive and adaptive social robot. Previous work has mainly been focusing on using unimodal or multimodal sequential models for Affective State Recognition. READ MORE
-
25. Predicting average response sentiments to mass sent emails using RNN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study is concerned with using the popular Recurrent Neural Network (RNN) model, and its variants Gated Recurrent Unit (GRU) and Long-Short Term Memory (LSTM), on the novel problem of Sentiment Forecasting (SF). The goal of SF is to predict what the sentiment of a response will be in a conversation, using only the previous utterance. READ MORE