Sökning: "machine learning"
Visar resultat 1 - 5 av 2712 uppsatser innehållade orden machine learning.
- Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik
Sammanfattning : As ecosystems are complex domains, both analytical and computer-aided modelscan aid in gaining insights about their dynamics. One such computer-aided modelis the concept of ecosystem simulation. This project aims to build an interactiveand visual ecosystem simulation in the Unity game engine. LÄS MER
- Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik
Sammanfattning : Studies have shown that driving style affects the energy consumption of electric vehicles, with aggressive driving consuming up to 30% more energy than moderate driving. Therefore, modeling of aggressive driving can provide a more precise estimation of the energy consumption and the remaining range of a vehicle. LÄS MER
3. Who’s managing earnings? A personality study of earnings management - Using algorithms to analyze how CEO personality traits engage in earnings managementMaster-uppsats, Göteborgs universitet/Graduate School
Sammanfattning : MSc in Accounting and Financial Management.... LÄS MER
Sammanfattning : We utilize Principal Component Analysis (PCA), a dimensionality reduction technique, on a set of 142 risk factors, including macroeconomic factors, proposed in financial literature to construct factor models with high explanatory powers when analysing the cross-sectional variation of portfolio returns. We apply a Fama and Macbeth (1973) two-pass regression to estimate risk premia commanded by our principal components. LÄS MER
5. Modelling rare events using non-parametric machine learning classiers - Under what circumstances are support vector machines preferable to conventional parametric classiers?Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik
Sammanfattning : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. LÄS MER