Exemplar based knowledge acquisition: a unified approach to concept representati on, classification, and learning
A Nearest Hyperrectangle Learning Method
Machine Learning
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology
Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology
Integrated Case-Based Building Design
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Reuse of Complex Electronic Designs: Requirements Analysis for a CBR Application
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Knowledge Acquisition by Generating Skeletal Plans from Real World Cases
Proceedings of the First Joint Workshop on Contemporary Knowledge Engineering and Cognition
Adaptation Using Constraint Satisfaction Techniques
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Retrieval and organizational strategies in conceptual memory: a computer model
Retrieval and organizational strategies in conceptual memory: a computer model
Supporting Electronic Design Reuse by Integrating Quality-Criteria into CBR-Based IP Selection
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Similarity Assessment for Generalizied Cases by Optimization Methods
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Horizontal Case Representation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Conceptual Neighborhoods for Retrieval in Case-Based Reasoning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
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For certain application areas of case-based reasoning, the traditional view of cases as points in the problem-solution space is not appropriate. Motivated by a concrete application in the area of electronic design reuse, we introduce the concept of a generalized case that represents experience that naturally covers a space rather than a point. Within a formal framework we introduce the semantics of generalized cases and derive a canonical similarity measure for them. Generalized cases can be represented in a very flexible way by using constraints. This representation asks for new means of similarity assessment. We argue that in principle fuzzy constraint satisfaction or non-linear programming can be applied for similarity computation. However, to avoid the computational complexity of these approaches, we propose an algorithm for an efficient estimation of similarity for generalized cases.