Sökning: "Kullback-Leibler divergence"

Visar resultat 6 - 10 av 11 avhandlingar innehållade orden Kullback-Leibler divergence.

1. 6. A Study in RNA Bioinformatics : Identification, Prediction and Analysis

   Författare :Eva Freyhult; David Ardell; Robert Giegerich; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; RNA; bioinformatics; secondary structure; structure prediction; dynamic programming; energy landscape; homology search; sequence logo; tRNA; Bioinformatics; Bioinformatik;

   Sammanfattning : Research in the last few decades has revealed the great capacity of the RNA molecule. RNA, which previously was assumed to play a main role only as an intermediate in the translation of genes to proteins, is today known to play many important roles in the cell in addition to that as a messenger RNA and transfer RNA, including the ability to catalyze reactions and gene regulations at various levels. LÄS MER

3. 7. Privacy-by-Design for Cyber-Physical Systems

   Författare :Zuxing Li; Tobias Oechtering; Joakim Jaldén; Stefano Marano; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; cyber-physical system; hypothesis testing; information theory; Markov decision process; privacy; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : It is envisioned that future cyber-physical systems will provide a more convenient living and working environment. However, such systems need inevitably to collect and process privacy-sensitive information. That means the benefits come with potential privacy leakage risks. LÄS MER

4. 8. Analytical Approximations for Bayesian Inference

   Författare :Tohid Ardeshiri; Fredrik Gustafsson; Johan Wolfgang Koch; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Bayesian inference is a statistical inference technique in which Bayes’ theorem is used to update the probability distribution of a random variable using observations. Except for few simple cases, expression of such probability distributions using compact analytical expressions is infeasible. LÄS MER

5. 9. Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation

   Författare :Samuel Wiqvist; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; computational statistics; deep learning; mixed­-effects; sequential Monte Carlo; stochastic dif­ferential equations;

   Sammanfattning : This doctoral thesis in computational statistics utilizes both Monte Carlo methods(approximate Bayesian computation and sequential Monte Carlo) and machine­-learning methods (deep learning and normalizing flows) to develop novel algorithms for infer­ence in implicit Bayesian models. Implicit models are those for which calculating the likelihood function is very challenging (and often impossible), but model simulation is feasible. LÄS MER

7. 10. Diagnosability analysis and FDI system design for uncertain systems

   Författare :Daniel Eriksson; Erik Frisk; Mattias Krysander; Alexander Medvedev; Linköpings universitet; []
   Nyckelord :;

   Sammanfattning : Our society depends on advanced and complex technical systems and machines, for example, cars for transportation, industrial robots in production lines, satellites for communication, and power plants for energy production. Consequences of a fault in such a system can be severe and result in human casualties, environmentally harmful emissions, high repair costs, or economical losses caused by unexpected stops in production lines. LÄS MER