Essays about: "Grafiska"
Showing result 1 - 5 of 104 essays containing the word Grafiska.
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1. UX Design of Augmented Reality House Configurator : Mobile AR Application and Web Administration Interface Design
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik och samhälleAbstract : Many of us find it difficult to make big decisions, building ahouse is one of them. It is perhaps the biggest investment andproject that one takes on. READ MORE
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2. Ionospheric Models for GNSS Measurements
University essay from KTH/Fastigheter och byggande; KTH/Fastigheter och byggandeAbstract : There is an increasing demand for higher precision when using Global Navigation Satellite Systems, GNSS, for positioning. The measurement uncertainty depends on multiple factors and one of them is the ionosphere. READ MORE
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3. A Study of the Loss Landscape and Metastability in Graph Convolutional Neural Networks
University essay from KTH/Matematisk statistikAbstract : Many novel graph neural network models have reported an impressive performance on benchmark dataset, but the theory behind these networks is still being developed. In this thesis, we study the trajectory of Gradient descent (GD) and Stochastic gradient descent (SGD) in the loss landscape of Graph neural networks by replicating Xing et al. READ MORE
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4. Sum-Product Network in the context of missing data
University essay from KTH/Matematisk statistikAbstract : In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models and the lack of theoretical knowledge about them raises many issues. It is in this context that sum product network models have emerged. READ MORE
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5. Polypharmacy Side Effect Prediction with Graph Convolutional Neural Network based on Heterogeneous Structural and Biological Data
University essay from KTH/Numerisk analys, NAAbstract : The prediction of polypharmacy side effects is crucial to reduce the mortality and morbidity of patients suffering from complex diseases. However, its experimental prediction is unfeasible due to the many possible drug combinations, leaving in silico tools as the most promising way of addressing this problem. READ MORE
