Sökning: "Dynamic Bayesian Networks"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Dynamic Bayesian Networks.

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Serghei Socolovschi; [2022]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 2. Vehicle Collision Risk Prediction Using a Dynamic Bayesian Network

   Master-uppsats, KTH/Matematisk statistik

   Författare :Jonas Lindberg; Isak Wolfert Källman; [2020]
   Nyckelord :Collision risk prediction; dynamic Bayesian network; sequential importance resampling; autonomous vehicles; ADAS; intelligent driver model; Förutsägelse av kollisionsrisk; dynamiskt Bayesianskt nätverk; sekventiell vägd simulering; autonoma fordon; ADAS; intelligent förarmodell;

   Sammanfattning : This thesis tackles the problem of predicting the collision risk for vehicles driving in complex traffic scenes for a few seconds into the future. The method is based on previous research using dynamic Bayesian networks to represent the state of the system. LÄS MER

4. 3. Variable Selection for Estimating Optimal Sequential Treatment Decisions Using Bayesian Networks

   Master-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Joel Persson; [2020]
   Nyckelord :decision theory; causal inference; variable selection; graphical models; causal discovery; dynamic treatment regimes; dynamic programming; reinforcement learning; observational study; Mathematics and Statistics;

   Sammanfattning : We propose a variable selection method for estimating decision rules of optimal sequential treatment assignments when the decision-relevant variables are unknown. Standard variable selection methods are insufficient in this setting since they choose covariates that are predictive of the outcome, not those that interact with the treatment on the outcome and are therefore relevant for decision-making. LÄS MER

5. 4. Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models

   Master-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Zara Jackson; [2019]
   Nyckelord :Basal Metabolic Rate; Resting Metabolic Rate; Dynamic Bayesian Networks; Temporal Models; Food Tracking; Calories; Obesity; Pymc3; Probabilistic Programming;

   Sammanfattning : Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. LÄS MER

7. 5. Face Verification and Open-Set Identification for Real-Time Video Applications

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Jakob Grundström; [2015]
   Nyckelord :computer vision; face verification; open-set identification; real-time video analysis; joint bayesian classifier; local binary pattern; convolutional neural network; fine-tuning; deep representations; Mathematics and Statistics;

   Sammanfattning : In this work we aim to develop a video-based face verification algorithm suitable for real-time use in an embedded environment with limited space and restricted computational resources. We investigate face verification based solutions to envisioned real-time video applications that require open-set face identification. LÄS MER