Essays about: "Bayesian Neural Network"

Showing result 1 - 5 of 37 essays containing the words Bayesian Neural Network.

  1. 1. EVALUATING THE IMPACT OF UNCERTAINTY ON THE INTEGRITY OF DEEP NEURAL NETWORKS

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Jakob Harborn; [2021]
    Keywords : Uncertainty; Deep Neural Network; Bayesian Neural Network; Dependability; Integrity; Probability;

    Abstract : Deep Neural Networks (DNNs) have proven excellent performance and are very successful in image classification and object detection. Safety critical industries such as the automotive and aerospace industry aim to develop autonomous vehicles with the help of DNNs. READ MORE

  2. 2. Modelling Immediate Serial Recall using a Bayesian Attractor Neural Network

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

    Author : Julia Ericson; [2021]
    Keywords : Bayesian Confidence Propagating Neural Network; Phonological Loop; Computational model; Immediate serial recall; Bayesian Confidence Propagating Neural Network; Fonologiska loopen; Datorsimulation; Sekventiellt korttidsminne;

    Abstract : In the last decades, computational models have become useful tools for studying biological neural networks. These models are typically constrained by either behavioural data from neuropsychological studies or by biological data from neuroscience. READ MORE

  3. 3. Predicting Hospital Attendance with Neural Networks and Bayesian Inference

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Gustav Woxén; [2020]
    Keywords : Neural network; Bayesian Inference; Hospital; attendance; visit; appointment;

    Abstract : Missed hospital appointments is a globally acknowledged problem. In order to minimize the cost associated with this, attempts have been made to predict what appointments will be missed using statistical models and machine learning. READ MORE

  4. 4. Bayesian Optimization for Neural Architecture Search using Graph Kernels

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

    Author : Bharathwaj Krishnaswami Sreedhar; [2020]
    Keywords : Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks; Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks;

    Abstract : Neural architecture search is a popular method for automating architecture design. Bayesian optimization is a widely used approach for hyper-parameter optimization and can estimate a function with limited samples. READ MORE

  5. 5. Improving Situational Awareness in Aviation: Robust Vision-Based Detection of Hazardous Objects

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik; Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Alexandra Levin; Najda Vidimlic; [2020]
    Keywords : Object Detection; Custom Data Set; Faster RCNN; ResNet-50-FPN; Aviation; Situational Awareness;

    Abstract : Enhanced vision and object detection could be useful in the aviation domain in situations of bad weather or cluttered environments. In particular, enhanced vision and object detection could improve situational awareness and aid the pilot in environment interpretation and detection of hazardous objects. READ MORE