Search for dissertations about: "bayesianska nätverk"

Found 3 swedish dissertations containing the words bayesianska nätverk.

  2. 1. Analysis of enterprise IT service availability : Enterprise architecture modeling for assessment, prediction, and decision-making

    Author : Ulrik Franke; Pontus Johnson; Lars Nordström; Göran Ericsson; João Paulo A. Almeida; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Service Level Agreement; outage costs; Enterprise Architecture; enterprise IT service availability; decision-making; metamodeling; Enterprise Architecture analysis; Bayesian networks; fault trees; Predictive Probabilistic Architecture Modeling Framework; Service Level Agreement; nertidskostnader; Enterprise Architecture; tillgänglighet hos IT-tjänster; beslutsfattande; metamodellering; arkitekturanalys; bayesianska nätverk; felträd; Predictive Probabilistic Architecture Modeling Framework;

    Abstract : Information technology has become increasingly important to individuals and organizations alike. Not only does IT allow us to do what we always did faster and more effectively, but it also allows us to do new things, organize ourselves differently, and work in ways previously unimaginable. READ MORE

  4. 2. Continuous time Graphical Models and Decomposition Sampling

    Author : Jonas Hallgren; Timo Koski; Blazej Miasojedow; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Two topics in temporal graphical probabilistic models are studied. The topics are treated in separate papers, both with applications in finance. The first paper study inference in dynamic Bayesian networks using Monte Carlo methods. A new method for sampling random variables is proposed. READ MORE

  5. 3. Sequential Data Learning, Scalable Models and Adversarial Regularization

    Author : Jin Huang; Ming Xiao; Geyong Min; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Time Series Prediction (TSP) has been used in mobile network traffic data analysis to produce predictive results for network planning and resource allocation. In the first part of this thesis, we propose a novel method of predicting mobile network traffic using neural networks based on conditional probability modeling between adjacent data windows in the time series sequence. READ MORE