Essays about: "model uncertainty"

Showing result 11 - 15 of 785 essays containing the words model uncertainty.

  1. 11. Solar Photovoltaic Thermal Collectors and Ground Source Heat Pumps for Commercial Buildings : Case study in Sweden

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Doris Dijak; Elin Torstensson; [2023]
    Keywords : Ground Source Heat Pump; Photovoltaic Thermal Collectors; Borehole Thermal Energy Storage; Free Cooling.; Bergvärmepumpssystem; Termiska Solceller; Borrhålsbaserade Termiska Energilager; Frikyla.;

    Abstract : In order to reduce emissions from the building sector, which stands for than a fifth of the global energy consumption today, efficient and fossil free heating and cooling systems are of importance. This study investigates the combination of solar photovoltaic thermal collectors and ground source heat pump systems in order to regenerate energy to the ground in combination with free cooling. READ MORE

  2. 12. Analyzing the performance of active learning strategies on machine learning problems

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Vendela Werner; [2023]
    Keywords : computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

    Abstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE

  3. 13. Exploring patterns in risk factors for bark beetle attack during outbreaks triggered by drought stress with harvester data on attacked trees: A case study in Southeastern Sweden

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Kouskoulis; [2023]
    Keywords : Geography; GIS; Geographic Information Science; Forest ecosystems; Bark beetle outbreak; Southeastern Sweden; Predisposing factors; Triggering factors; Drought stress; Earth and Environmental Sciences;

    Abstract : ABSTRACT Raising temperatures and climate variability have intensified extreme weather events worldwide. These extremes can enhance and trigger possible pest outbreaks. Bark beetle attacks have become a major concern in regions with extensive spruce forest areas. Southeastern Sweden has faced repeated outbreaks resulting in widespread tree loss. READ MORE

  4. 14. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?

    University essay from Uppsala universitet/Företagsekonomiska institutionen

    Author : Gustav Jacobsson; Oscar Klersell; [2023]
    Keywords : Economic Policy Uncertainty EPU ; Excess stock returns; Out-of-sample forecasting; Random walk; Sweden;

    Abstract : This thesis examines whether the level of Swedish economic policy uncertainty (EPU) can predict excess returns on the Swedish stock market. We run out-of-sample forecasting using an EPU-based predictive model constructed with the official Swedish EPU index developed by Armelius et al. (2017). READ MORE

  5. 15. Active learning for text classification in cyber security

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Amanda Carp; [2023]
    Keywords : Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

    Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE