Leveraging deep learning to automatically generate indexing features for cases, which is a significant modern research trend.
The phrase is the primary title of the proceedings for the International Conference on Case-Based Reasoning (ICCBR) , the premier annual forum for this field. Case-Based Reasoning Research and Development: ...
Techniques used to determine which attributes of a case are most important for finding accurate solutions. In the context of research, a typically refers
In the context of research, a typically refers to one of the following key aspects of the Case-Based Reasoning (CBR) methodology or its publications: 1. Key Research Features (Methodology) In the context of research
How knowledge is structured within the "case base," often using ontologies or list of questions.
For the digital versions of these proceedings (e.g., the 2024 or 2025 editions published by ), the term "feature" often refers to EPUB accessibility standards:
Research and development in this field focus on several core "features" or technical components that make a CBR system functional: