An overview of hierarchical structure in music
Machine models of music
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
T-Air: A Case-Based Reasoning System for Designing Chemical Absorption Plants
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
PROFIL: a decision support tool for metallic sections using a CBR approach
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Extracting performers' behaviors to annotate cases in a CBR system for musical tempo transformations
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Evolutionary optimization of music performance annotation
CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval
Understanding Dubious Future Problems
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Assessing Confidence in Cased Based Reuse Step
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
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The development of large-scale case-based reasoning systems has increased the necessity of providing tools for analyzing the case base structure. In this paper we present a hierarchical competence model approach based on the solution qualities. Using this hierarchical approach we propose a new method for visualizing case base competence and understanding the way a CBR system behaves in different parts of the problem space. The visualization method has been used in the TempoExpress system, a CBR system for applying expressivity-aware tempo transformations to recordings of musical performances.