Sökning: "kausala grafer"

Hittade 4 uppsatser innehållade orden kausala grafer.

  1. 1. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

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

    Författare :Suresh Rishi Nandan; [2023]
    Nyckelord :Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

    Sammanfattning : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. LÄS MER

  3. 2. 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

  4. 3. 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

  5. 4. Unsupervised Spatio-Temporal Activity Learning and Recognition in a Stream Processing Framework

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerad datorsystem; Linköpings universitet/Tekniska högskolan

    Författare :Mattias Tiger; [2014]
    Nyckelord :Activity learning; Activity recognition; Activity prediction; Unsupervised On-line learning; Artificial Intelligence; Spatio-temporal; Stream processing; Sparse Gaussian process;

    Sammanfattning : Learning to recognize and predict common activities, performed by objects and observed by sensors, is an important and challenging problem related both to artificial intelligence and robotics.In this thesis, the general problem of dynamic adaptive situation awareness is considered and we argue for the need for an on-line bottom-up approach. LÄS MER