Sökning: "Göran Boström"
Hittade 2 avhandlingar innehållade orden Göran Boström.
1. Integrating domain knowledge into deep learning : Increasing model performance through human expertise
Sammanfattning : The research in this thesis is focused on how deep learning models can be designed and implemented to better emulate and integrate the heuristic reasoning process of human experts. Several case studies, within the domains of steel making and drug discovery, are conducted in order to evaluate the performance of these models, in comparison to models that do not consider human expert knowledge from the targeted domain. LÄS MER
2. Feasible computation of generalized linear mixed models with application to credit risk modelling
Sammanfattning : This thesis deals with developing and testing feasible computational procedures to facilitate the estimation of and carry out the prediction with the generalized linear mixed model (GLMM) with a scope of applying them to large data sets. The work of this thesis is motivated from an issue arising incredit risk modelling. LÄS MER