Titlebook: IUTAM Symposium on Mechanical and Electromagnetic Waves in Structured Media; Proceedings of the I Ross C. McPhedran,Lindsay C. Botten,Nicol

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G. W. Miltone . that current case base contents can be used as a proxy for future problems when determining cases to retain. For mature case bases in stable domains, this assumption works well. However, representativeness may not hold for sparse case bases during initial case base growth, for dynamically changi

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Systemic

Exploit

Benjamin S. White,Werner Kohler,Leonard J. Srnkaknowledge. Although the probabilistic case-based reasoning (CBR) model can predict attributes for an entity and outperform other rule-based and embedding-based methods by gathering reasoning paths from similar entities in KG, it still suffers from some problems such as insufficient graph feature acq

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exacerbate

B. J. Eggleton,C. Martijn de Sterke,R. E. Slusherhe prediction of any future event. It is routinely used in medical research to stratify patients in groups based on risk, such as high-risk groups and low-risk groups, and has paramount important in patient stratification and treatment. Recently, deep neural networks (DNNs) have raised considerable

使乳化

offer support for users, but are currently only available for certain subdomains and case representations. Currently, there are only visualizations that can be used for local attributes or specific case representations. However, there is no possibility to visualize similarities between complete pro

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G. W. Owen,I. D. Abrahamspeople. During this same time frame, the consumer electronics industry introduced significant changes in products available to the public, products that were technically complex. Digital Satellite Systems, Digital Video Disc, home theater systems and high definition television, all quite appealing t

Ergots

Philippe Boulanger,Michael Hayesere an incomplete sequence has to be completed with a suitable item. This has motivated the AI community for developing various computational models of analogy-making. A Boolean logic view of analogical proportions (a basic form of analogical statements of the form “. is to . as . is to .”) has been

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A. Movchan,S. Sorokin,?. Selsilngth for retrieval. However, users may not always be able or willing to answer the most discriminative questions. This paper presents Accessibility Influenced Attribute Selection Plus (AIAS+), a method for customizing CCBR question selection to reflect the types of questions the user is likely to an