Essays about: "Bayesianska neurala nätverk"

Showing result 1 - 5 of 13 essays containing the words Bayesianska neurala nätverk.

1. 1. LDPC DropConnect

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

   Author : Xi Chen; [2023]
   Keywords : Bayesian approach; Machine learning; Coding theory; Measurement uncertainty; Algorithms; Bayesiansk metod; Maskininlärning; Kodningsteori; Mätosäkerhet; Algoritmer;

   Abstract : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. READ MORE

3. 2. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

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

   Author : Serghei Socolovschi; [2022]
   Keywords : Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

   Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE

4. 3. 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

5. 4. Deep Bayesian Neural Networks for Prediction of Insurance Premiums

   University essay from KTH/Matematisk statistik

   Author : Nils Olsgärde; [2021]
   Keywords : Applied Mathematics; Artificial Intelligence; Artificial Neural Networks; Bayesian Neural Networks; Insurance Premiums; Vehicle Insurance; Tillämpad matematik; Artificiell intelligens; Artificiella neurala nätverk; Bayesianska neurala nätverk; försäkringspremier; fordonsförsäkringar;

   Abstract : In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. READ MORE

6. 5. Deep Bayesian Neural Networks for Prediction of Insurance Premiums

   University essay from KTH/Matematisk statistik

   Author : Nils Olsgärde; [2021]
   Keywords : Applied Mathematics; Artificial Intelligence; Artificial Neural Networks; Bayesian Neural Networks; Insurance Premiums; Vehicle Insurance; Tillämpad matematik; Artificiell intelligens; Artificiella neurala nätverk; Bayesianska neurala nätverk; försäkringspremier; fordonsförsäkringar;

   Abstract : In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. READ MORE