Essays about: "Kausal upptäckt"
Showing result 1 - 5 of 8 essays containing the words Kausal upptäckt.
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1. Finding Causal Relationships Among Metrics In A Cloud-Native Environment
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Towards Causal Discovery on EHR data : Evaluation of current Causal Discovery methods on the MIMIC-IV data set
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Causal discovery is the problem of learning causal relationships between variables from a set of data. One interesting area of use for causal discovery is the health care domain, where application could help facilitate a better understanding of disease and treatment mechanisms. READ MORE
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3. Causal discovery in conditional stationary time-series data : Towards causal discovery in videos
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Performing causal reasoning in a scene is an inherent mechanism in human cognition; however, the majority of approaches in the causality literature aiming for this task still consider constrained scenarios, such as simple physical systems or stationary time-series data. In this work we aim for causal discovery in videos concerning realistic scenarios. READ MORE
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4. Interventions for Identifying Context-Specific Causal Structures
University essay from KTH/Matematik (Avd.)Abstract : 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. READ MORE
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5. Interactive Visual Exploration of Causal Structures for Neuropathic Pain Diagnosis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
