Sökning: "Bayesian network"
Visar resultat 16 - 20 av 137 uppsatser innehållade orden Bayesian network.
16. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The Discrete Fourier Transform is the simplest way to obtain the spectrum of a discrete complex signal. This thesis concerns the case when the signal is known to contain a small (unknown) number of frequencies, not limited to the discrete Fourier frequencies, embedded in complex Gaussian noise. LÄS MER
17. Causal Inference on Tactical Simulations using Bayesian Structure Learning
Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : This thesis explores the possibility of using Bayesian Structure Learning and Do-Calculus to perform causal inference on data from tactical combat simulations provided by Saab. A four-step approach is considered whose first step is to find a Bayesian Network from the data using Bayesian Structure Learning and Probability Distribution Fitting. LÄS MER
18. Prediction of appropriate L2 regularization strengths through Bayesian formalism
Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationSammanfattning : This paper proposes and investigates a Bayesian relation between optimal L2 regularization strengths and the number of training patterns and hidden nodes used for an artificial neural network. The results support the proposed dependence for number of training patterns, while the dependence on hidden architecture was less clear. LÄS MER
19. Inverse Uncertainty Quantification for Sounding Rocket Dispersion
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. LÄS MER
20. Data-driven Discovery of Real-time Road Compaction Parameters
Master-uppsats, KTH/Matematisk statistikSammanfattning : Road compaction is the last and important stage in road construction. Both under-compaction and over-compaction are inappropriate and may lead to road failures. Intelligent compactors has enabled data gathering and edge computing functionalities, which introduces possibilities in data-driven compaction control. LÄS MER