Browsing NTNU Open by Author "Nikpour, Hoda"
Now showing items 1-4 of 4
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Bayesian Analysis in a Knowledge-Intensive CBR System
Nikpour, Hoda; Aamodt, Agnar (Chapter, 2017)This study presents a case-based reasoning system that makes use of general domain knowledge - referred to as a knowledge-intensive CBR system. The system applies a Bayesian analysis aimed at increasing the accuracy of the ... -
Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System
Nikpour, Hoda; Aamodt, Agnar; Bach, Kerstin (LNCS;volume 11156, Journal article; Peer reviewed, 2018)This study presents a case-based reasoning (CBR) system that makes use of general domain knowledge - referred to as a knowledge-intensive CBR system. The system applies a Bayesian analysis aimed at increasing the accuracy ... -
Diagnosing Root Causes and Generating Graphical Explanations by Integrating Temporal Causal Reasoning and CBR
Nikpour, Hoda; Aamodt, Agnar; Skalle, Pål (Journal article; Peer reviewed, 2017)This study proposes a methodology to diagnose the root causes of failures in the domain of oil well drilling. The idea is to combine a Bayesian network, which is generated based on an expert knowledge, with situation-specific ... -
Problem solving in uncertain domains by a Bayesian supported knowledge-intensive case-based reasoning method
Nikpour, Hoda (Doctoral theses at NTNU;2021:349, Doctoral thesis, 2021)