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Visar resultat 1 - 5 av 75 uppsatser som matchar ovanstående sökkriterier.
1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER
2. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER
3. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Simulation models are often used to study a system or phenomenon. However, before a simulation model can be used, its parameter needs to be fit to mimic observed data. This is called the parameter inference problem. LÄS MER
4. Approximate Bayesian Computation for Data-Driven Epidemiological Models
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Epidemiological models can help us to understand the spread of pathogens in a population. Fitting these mathematical models to epidemiological data can be a difficult task due to uncertain or missing data. LÄS MER
5. Den historiskt bästa Formel-1 föraren
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : It is difficult to definitively say who the greatest Formula One driver is. It is a subjective assessment and can depend on a variety of factors, including the driver’s skill, their results and accomplishments, their team and car, and the era in which they competed. LÄS MER