Essays about: "Chain Graphs"
Showing result 1 - 5 of 16 essays containing the words Chain Graphs.
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1. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning
University essay from Blekinge Tekniska HögskolaAbstract : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. READ MORE
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2. Adaptive random walks on graphs to sample rare events
University essay from Stockholms universitet/FysikumAbstract : In this thesis, I study fluctuations and rare events of time-additive observables of discrete-time Markov chains on finite state spaces. The observable of interest is the mean node connectivity visited by a random walk running on instances of an Erdős-Rényi (ER) random graph. READ MORE
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3. Stationary Distribution of Markov Chain
University essay from Uppsala universitet/Matematiska institutionenAbstract : Markov chain is a mathematical tool for modeling systems that evolve over time and hasbeen used in many fields such as physics, chemistry, economics, biology, and data science.This thesis contains an introduction to the theory and the applications of Markov chains,focusing on those with finite state spaces. READ MORE
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4. The State of Software Diversity in the Software Supply Chain of Ethereum Clients
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The software supply chain constitutes all the resources needed to produce a software product. A large part of this is the use of open-source software packages. READ MORE
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5. Quantum Error Correction Using Graph Neural Networks
University essay from Göteborgs universitet / Institutionen för fysikAbstract : A graph neural network (GNN) is constructed and trained with a purpose of using it as a quantum error correction decoder for depolarized noise on the surface code. Since associating syndromes on the surface code with graphs instead of grid-like data seemed promising, a previous decoder based on the Markov Chain Monte Carlo method was used to generate data to create graphs. READ MORE