Sökning: "acyclic"

Visar resultat 6 - 10 av 37 uppsatser innehållade ordet acyclic.

  1. 6. Interventions for Identifying Context-Specific Causal Structures

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Georgios-Nikolaos Karelas; [2021]
    Nyckelord :causality; game theory; mathematics; kausalitet; spelteori; matematik;

    Sammanfattning : The problem of causal discovery is to learn the true causal relations among a system of random variables based on the available data. Learning the true causal structure of p variables can sometimes be difficult, but it is crucial in many fields of science, such as biology, sociology and artificial intelligence. LÄS MER

  2. 7. Interactive Visual Exploration of Causal Structures for Neuropathic Pain Diagnosis

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Yuwen Hu; [2021]
    Nyckelord :Causal structures; causality visualization; neuropathic pain; discomfort drawing; healthcare; interactive technologies.;

    Sammanfattning : Revealing causal structures from observational data is an essential task in many data analysis issues across various domains, such as natural sciences, business, and healthcare. In healthcare, neuropathic pain is one of the most common medical problems, whose diagnosis process has well-understood causal structures. LÄS MER

  3. 8. Causal Discovery Algorithms for Context-Specific Models

    Master-uppsats, KTH/Matematisk statistik

    Författare :Mohamed Nazaal Ibrahim; [2021]
    Nyckelord :Causality; Causal Discovery; Statistics; Kausalitet; Kausal Upptäckt; Statistik;

    Sammanfattning : Despite having a philosophical grounding from empiricism that spans some centuries, the algorithmization of causal discovery started only a few decades ago. This formalization of studying causal relationships relies on connections between graphs and probability distributions. LÄS MER

  4. 9. Sum-Product Network in the context of missing data

    Master-uppsats, KTH/Matematisk statistik

    Författare :Pierre Clavier; [2020]
    Nyckelord :Statistics; Mixture model; Probabilistic Graphical Models; Statistik; Probabilistiska grafiska modeller;

    Sammanfattning : In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models and the lack of theoretical knowledge about them raises many issues. It is in this context that sum product network models have emerged. LÄS MER

  5. 10. A study and review of distributed ledger technologies

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Maria Olsson; [2020]
    Nyckelord :;

    Sammanfattning : With the rise in popularity of cryptocurrencies, distributed ledger technology is a term that has gained traction. The aim of this study is to review and comparethe distributed ledger technologies blockchain and directed acyclic graph, examining their internal structures as well as some platforms and existing areas of application. LÄS MER