Titlebook: Case-Based Reasoning Research and Development; 29th International C Antonio A. Sánchez-Ruiz,Michael W. Floyd Conference proceedings 2021 Sp

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,A Case-Based Reasoning Approach to?Predicting and Explaining Running Related Injuries,o highlight those features that are unique to injured runners (those suffering from training breaks) to emphasise training behaviours that may be responsible for higher levels of injury risk for the target runner. We evaluate our work with a dataset of real-world training data by more than 5,000 rea

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,Bayesian Feature Construction for?Case-Based Reasoning: Generating Good Checklists, augmented past cases are retrieved via CBR to construct new checklists, which ensures justification for the content of the checklists and promotes trust. Experiments suggest that BCBR is more effective than any other baseline we tested, in terms of constructing trustworthy checklists.

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When Revision-Based Case Adaptation Meets Analogical Extrapolation,). The paper investigates how the belief revision view and analogical extrapolation relate. Besides that it constitutes an unexpected bridge between areas which ignore each other, it casts some light on the adaptation mechanism in case-based reasoning. The paper is illustrated by a running example.

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,On Combining Knowledge-Engineered and Network-Extracted Features for?Retrieval,y of engineered feature information affects their combined benefit, and tests network methods to generate weights for their combination. Experimental results show that in the test domain under suitable circumstances, the combined approach can outperform either method individually.

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The Relational Process Structureilarity metric for comparing historical pricing data. We demonstrate the benefits of this metric and the case-based approach in a real-world application in comparison to a variety of conventional benchmarks.

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