Essays about: "Rekursiva neurala nätverk"
Found 5 essays containing the words Rekursiva neurala nätverk.
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1. Automatic event detection oncontinuous glucose datausing neural networks
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Automatically detecting events for people with diabetes mellitus using continuousglucose monitors is an important step in allowing insulin pumps to automaticallycorrect the blood glucose levels and for a more hands-off approach to thedisease. The automatic detection of events could also aid physicians whenassisting their patients when referring to their continuous glucose monitordata. READ MORE
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2. Time Dependencies Between Equity Options Implied Volatility Surfaces and Stock Loans, A Forecast Analysis with Recurrent Neural Networks and Multivariate Time Series
University essay from KTH/Matematik (Avd.)Abstract : Synthetic short positions constructed by equity options and stock loan short sells are linked by arbitrage. This thesis analyses the link by considering the implied volatility surface (IVS) at 80%, 100%, and 120% moneyness, and stock loan variables such as benchmark rate (rt), utilization, short interest, and transaction trends to inspect time-dependent structures between the two assets. READ MORE
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3. Scenario Reduction in Debt Simulations Using Recurrent Autoencoders : Finding Meaningful Patterns in Stochastic Processes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis studies how improvements can be made to a simulation model used to analyse debt portfolios. Today, the simulation model needs to evaluate a portfolio over a large sample of scenarios to get accurate results. This can be time-consuming if the portfolios consist of many different and complex securities. READ MORE
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4. Topological recursive fitting trees : A framework for interpretable regression extending decision trees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Many real-world machine learning applications need interpretation of an algorithm output. The simplicity of some of the most fundamental machine learning algorithms for regression, such as linear regression or decision trees, facilitates interpretation. However, they fall short when facing complex (e.g. READ MORE
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5. Identifying Content Blocks on Web Pages using Recursive Neural Networks and DOM-tree Features
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : The internet is a source of abundant information spread across different web pages. The identification and extraction of information from the internet has long been an active area of research for multiple purposes relating to both research and business intelligence. READ MORE
