An introduction to case-based reasoning

By Janet L. Kolodner. 1992

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1. Yao Ming
2. Huamin Qu
3. Panpan Xu
4. Liu Ren
5. Cynthia Rudin
6. Shixia Liu
7. Dat Hong
8. Meike Nauta

Citations in the corpus

• Interpretable and Steerable Sequence Learning via Prototypes (2019, background): “in many application scenarios [29]. We leverage the concept of prototype learning to construct deep sequence model with built-in interpretability. Prototype learning is a form of case-based reasoning [18, 30], which draws conclusions for new inputs by comparing them with a few exemplar cases (i.e. a”