Sökning: "random matrix"

Visar resultat 1 - 5 av 78 uppsatser innehållade orden random matrix.

1. 1. Microstructures and Compressive Strength of Lake Ice in Sweden A structural Documentation and Compressive Strength Analysis of Lake Ice Cores from Uppsala, using the SonReb Method

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :Julia Ladefoged; [2023-08-18]
   Nyckelord :;

   Sammanfattning : Lake ice have been utilized by humans through centuries, as transportation routes and recreational activities to name a few (Sharma et al., 2019). Despite our frequent usage of lake ice there is a lack of extensive knowledge of it. LÄS MER

3. 2. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Max Aronsson; Anna Folkesson; [2023]
   Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

   Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER

4. 3. Gap Probabilities in Random Matrix Ensembles

   Kandidat-uppsats, Uppsala universitet/Analys och partiella differentialekvationer

   Författare :Oskar Bäcklin; [2023]
   Nyckelord :gap probability; random matrix;

   Sammanfattning : In this degree project we look at eigenvalue statistics of two randommatrix ensembles, the Gaussian and the circular ensembles. We beginwith their definition and discuss the joint probability distribution of theirentries and eigenvalues. LÄS MER

5. 4. Stochastic Frank-Wolfe Algorithm : Uniform Sampling Without Replacement

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Olof Håkman; [2023]
   Nyckelord :Stochastic Frank-Wolfe; Stochastic optimization; Sampling without replacement;

   Sammanfattning : The Frank-Wolfe (FW) optimization algorithm, due to its projection free property, has gained popularity in recent years with typical application within the field of machine learning. In the stochastic setting, it is still relatively understudied in comparison to the more expensive projected method of Stochastic Gradient Descent (SGD). LÄS MER

7. 5. Machine Learning based Predictive Data Analytics for Embedded Test Systems

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Fayad Al Hanash; [2023]
   Nyckelord :Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

   Sammanfattning : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. LÄS MER