Essays about: "non-Bayesian"

Showing result 1 - 5 of 6 essays containing the word non-Bayesian.

1. 1. Oil Shocks and the Russian Economy: Inflation Perspective

   University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Author : Elena Akhmedova; [2022]
   Keywords : oil shocks; oil exporters; economic policy; Russia; time varying parameters;

   Abstract : This paper aims to assess the effect of oil shocks on the Russian econ- omy, focusing on but not limited to inflation, throughout 2000-2019, with the following main points with respect to economic policy: switching to in- flation targeting in 2014 and undergoing several iterations of the fiscal rule. The paper focuses on estimating a Bayesian time-varying parameter VAR model, additionally calculating the oil price pass through to inflation using the Phillips curve approach and modelling impulse responses to oil shocks us- ing non-Bayesian vector autoregressions. 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. Bayesian Reinforcement Learning Methods for Network Intrusion Prevention

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

   Author : Antonio Frederico Nesti Lopes; [2021]
   Keywords : Network Security; Reinforcement Learning; Bayesian Q-Learning; Bayesian Policy Gradient; Bayesian Actor-Critic; Markov Security Games; Nätverkssäkerhet; förstärkningslärande; Bayesian Q-Learning; Bayesian Policy Gradient; Bayesian Actor-Critic; Markov Security Games;

   Abstract : A growing problem in network security stems from the fact that both attack methods and target systems constantly evolve. This problem makes it difficult for human operators to keep up and manage the security problem. READ MORE

5. 4. Comparing Non-Bayesian Uncertainty Evaluation Methods in Chromosome Classification by Using Deep Neural Networks

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

   Author : Sevket Melih Zenciroglu; [2021]
   Keywords : Karyotyping; Chromosome; Image Classification; Deep Neural Networks; Uncertainty; Ensembles; Test Time Augmentation; Dropout; Entropy; Variance.; Deep Neural Networks; non-Bayesian; Osäkerhet; Ensembler; Testtidförstoring; Dropout; Entropy; Variance.;

   Abstract : Chromosome classification is one of the essential tasks in karyotyping to diagnose genetic abnormalities like some types of cancers and Down syndrome. Deep convolutional neural networks have been widely used in this task, and the accuracy of classification models is exceptionally critical to such sensitive medical diagnoses. READ MORE

6. 5. Machine Learning for Automation of Chromosome based Genetic Diagnostics

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

   Author : Gongchang Chu; [2020]
   Keywords : Genetic Diagnostics; Abnormality Detection; Transfer Learning; Deep Learning; Uncertainty Estimation; Genetisk diagnos; onormal detektion; överföringsinlärning; djupinlärning; osäkerhetsuppskattning;

   Abstract : Chromosome based genetic diagnostics, the detection of specific chromosomes, plays an increasingly important role in medicine as the molecular basis of hu- man disease is defined. The current diagnostic process is performed mainly by karyotyping specialists. READ MORE