Essays about: "Poisson sampling"
Showing result 1 - 5 of 15 essays containing the words Poisson sampling.
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1. Analyzing Survey Response Time and Response Rate for Colorectal Cancer Patients Using Logistic and Poisson Regression
University essay from KTH/Matematisk statistikAbstract : Cancer is a highly prevalent disease worldwide, claiming hundreds of lives each year. In the field of cancer research, it is customary to conduct surveys in which patients are asked to self-report and assess their symptoms and overall health. READ MORE
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2. A Novel Method for Finding Overlap Depth : Development of ArtiaX, a ChimeraX plugin
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : Visualization and image filtering are important parts of cryo-electron tomography analysis. ArtiaX, a plugin developed for UCSF ChimeraX, has been extended to improve the functionality of these two parts. For the visualization, a method of moving 3D surfaces to remove overlap between them has been developed and implemented. READ MORE
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3. Solving Partial Differential Equations With Neural Networks
University essay from Uppsala universitet/Matematiska institutionenAbstract : In this thesis three different approaches for solving partial differential equa-tions with neural networks will be explored; namely Physics-Informed NeuralNetworks, Fourier Neural Operators and the Deep Ritz method. Physics-Informed Neural Networks and the Deep Ritz Method are unsupervised machine learning methods, while the Fourier Neural Operator is a supervised method. READ MORE
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4. A sample of sampling strategies for audio similarity learning
University essay from KTH/DatavetenskapAbstract : Training of machine learning models often require sampling when the dataset is large. The manner in which one samples data points, for the mini-batches as well as for the loss function, has been shown to have an impact on the performance of the model as well as on its convergence during training. READ MORE
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5. GPU-Accelerated Monte Carlo Geometry Processing for Gradient-Domain Methods
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis extends the utility of the Monte Carlo approach to PDE-based methods presented in the paper Monte Carlo Geometry Processing. In particular, we implement this method on the GPU using CUDA, and investigate more viable methods of estimating the source integral when solving Poisson’s equation with intricate source terms. READ MORE
