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Titlebook: Case-Based Reasoning Research and Development; 27th International C Kerstin Bach,Cindy Marling Conference proceedings 2019 Springer Nature

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On Combining Case Adaptation Rules,ed degradation of solution quality from long adaptation chains, it performs incremental retrieval of new source cases along the adaptation path, . the partially modified case to the “ground truth” of existing cases when an existing case is nearby. An evaluation supports the benefits of the model and illuminates some tradeoffs.
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Improving Analogical Extrapolation Using Case Pair Competence,he support and the confidence of the case pair, computed on the basis of other case pairs forming an analogical proportion with it. An evaluation in a Boolean setting shows that using case pair competences improves significantly the result of the analogical extrapolation process.
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Towards Finding Flow in Tetris,Games are modeled using time series representing the evolution of different game features and evaluated by the players according to their level of entertainment. This way, we alter the difficulty of the game so that it evolves similarly to other previous good games and we expect the current player also experience the same ..
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,Comparing Similarity Learning with Taxonomies and One-Mode Projection in Context of the FEATURE-TAKity measures with automated taxonomy extension and one-mode projections and present a comprehensive evaluation and comparison between the different approaches to highlight the advantages and short comings.
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CBR Confidence as a Basis for Confidence in Black Box Systems,n the black box and CBR systems are provided with the same training data. The paper presents initial strategies for using CBR confidence to predict black box system confidence. An evaluation explores the ability of the strategies to provide useful information and suggests future questions.
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An Approach to Case-Based Reasoning Based on Local Enrichment of the Case Base,ion rules. Ultimately reaching the target problem (exactly or nearly) allows the system to deliver a solution. Application of the proposed approach to machine translation shows behind state-of-the-art, but promising results.
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Scoring Performance on the Y-Balance Test, on working as close to the raw time-series as possible so that no information is lost. We report results on two aspects, the assessment of YBT performance and the insights that can be drawn from comparisons between pre- and post- injury performance.
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