Essays about: "Bayesian networks"

Showing result 16 - 20 of 119 essays containing the words Bayesian networks.

  1. 16. Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation

    University essay from Lunds universitet/Matematisk statistik

    Author : Mika Persson; [2022]
    Keywords : Bayesian Statistics; Deep Learning; Frequency Estimation; Generative Adversarial Networks; Artificial Neural Networks; Statistical Modelling; Mathematics and Statistics;

    Abstract : 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. READ MORE

  3. 17. Causal Inference on Tactical Simulations using Bayesian Structure Learning

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Karl Lagerkvist Blomqvist; [2022]
    Keywords : Causal Inference; Bayesian Structure Learning; Do-Calculus; Tactical Simulations; Kausal Inferens; Bayesiansk Strukturinlärning; Do-Calculus; Taktiska Simuleringar;

    Abstract : 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. READ MORE

  4. 18. Prediction of appropriate L2 regularization strengths through Bayesian formalism

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Author : Alexander Degener; [2022]
    Keywords : Machine learning; Artificial Neural Network; L2 regularization strength; Bayesian formalism; Classification tasks; Physics and Astronomy;

    Abstract : 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. READ MORE

  5. 19. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

    University essay from KTH/Matematik (Avd.)

    Author : Tove Ågren; [2022]
    Keywords : Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

    Abstract : 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. READ MORE

  6. 20. Exploring Column Update Elimination Optimization for Spike-Timing-Dependent Plasticity Learning Rule

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

    Author : Ojasvi Singh; [2022]
    Keywords : Spike-Timing Dependent Plasticity; neuromorphic computing; Hebbian Learning; Spiking Neural Networks; memory optimization.; Spike-Timing Beroende Plasticitet; neuromorfisk beräkning; Hebbiansk inlärning; Spiking Neural Networks; Minnes optimering;

    Abstract : Hebbian learning based neural network learning rules when implemented on hardware, store their synaptic weights in the form of a two-dimensional matrix. The storage of synaptic weights demands large memory bandwidth and storage. READ MORE