Search for dissertations about: "semantik"
Showing result 21 - 25 of 38 swedish dissertations containing the word semantik.
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21. Conceptualizing and Measuring Well-Being Using Statistical Semantics and Numerical Rating Scales
Abstract : How to define and measure individuals’ well-being is important, as this has an impact on both research and society at large. This thesis concerns how to define and measure the self-reported well-being of individuals, which involves both theorizing as well as developing and applying empirical and statistical methods in order to gain a better understanding of well-being. READ MORE
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22. Correct and Efficient Monte Carlo Inference for Universal Probabilistic Programming Languages
Abstract : Probabilistic programming languages (PPLs) allow users to express statistical inference problems that the PPL implementation then, ideally, solves automatically. In particular, PPL users can focus on encoding their inference problems, and need not concern themselves with the intricacies of inference. READ MORE
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23. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records
Abstract : The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. READ MORE
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24. Model and Reality : Connecting BIM and the Built Environment
Abstract : The adoption of building information modeling (BIM) in the architecture, engineering, and construction (AEC) industry is changing the way informa-tion regarding the built environment is created, stored, and exchanged. In short, documents are replaced with databases, processes are automated, and timelines become more circular with an emphasis on managing the life cycles of all manufactured objects. READ MORE
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25. Quantifying Meaning
Abstract : Distributionella semantikmodeller är en klass av maskininlärningsmodeller med syfte att konstruera representationer som fångar semantik, i.e. mening, av objekt som bär mening på ett datadrivet sätt. READ MORE