Essays about: "Causal discovery"
Showing result 1 - 5 of 13 essays containing the words Causal discovery.
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1. Causal Discovery for Time Series : Based on Continuous Optimization
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Causal discovery is an important field of study that seeks to understand the underlying relationships between variables in a system. The goal of causal discovery is to discover the causal relationships from observational data and determine the direction of influence between variables. READ MORE
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2. 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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3. 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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4. 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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5. 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