Sökning: "probabilistic graphical models"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden probabilistic graphical models.

  1. 1. Bayesian inference in probabilistic graphical models

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Felix Leopoldo Rios; KTH.; [2017]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Graphical models; Bayesian inference; predictive classification; decomposable graphs; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Sammanfattning : This thesis consists of four papers studying structure learning and Bayesian inference in probabilistic graphical models for both undirected and directed acyclic graphs (DAGs).Paper A presents a novel algorithm, called the Christmas tree algorithm (CTA), that incrementally construct junction trees for decomposable graphs by adding one node at a time to the underlying graph. LÄS MER

  2. 2. Bayesian structure learning in graphical models

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Felix Leopoldo Rios; KTH.; [2016]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian statistics; graphical models; Bayesian networks; Markov networks; structure learning; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Sammanfattning : This thesis consists of two papers studying structure learning in probabilistic graphical models for both undirected graphs anddirected acyclic graphs (DAGs).Paper A, presents a novel family of graph theoretical algorithms, called the junction tree expanders, that incrementally construct junction trees for decomposable graphs. LÄS MER

  3. 3. On approximations and computations in probabilistic classification and in learning of graphical models

    Detta är en avhandling från Matematiska institutionen

    Författare :Magnus Ekdahl; Linköpings universitet.; Linköpings universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematical statistics; factorizations; probabilistic classification; nodes; DNA strings; MATHEMATICS Applied mathematics Mathematical statistics; MATEMATIK Tillämpad matematik Matematisk statistik;

    Sammanfattning : Model based probabilistic classification is heavily used in data mining and machine learning. For computational learning these models may need approximation steps however. LÄS MER

  4. 4. Continuous time Graphical Models and Decomposition Sampling

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Jonas Hallgren; KTH.; [2015]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : 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. LÄS MER

  5. 5. Graphical representations of Ising and Potts models Stochastic geometry of the quantum Ising model and the space-time Potts model

    Detta är en avhandling från Stockholm : US AB

    Författare :Jakob Erik Björnberg; KTH.; [2009]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Quantum Ising model; Ising model; Potts model; random-cluster model; random-current representation; random-parity representation; differential inequality; phase transition; MATHEMATICS Algebra; geometry and mathematical analysis Discrete mathematics; MATEMATIK Algebra; geometri och analys Diskret matematik;

    Sammanfattning : HTML clipboard Statistical physics seeks to explain macroscopic properties of matter in terms of microscopic interactions. Of particular interest is the phenomenon of phase transition: the sudden changes in macroscopic properties as external conditions are varied. LÄS MER