Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
Handling Cases and the Coverage in a Limited Quantity of Memory for Case-Based Planning Systems
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
On Quality Measures for Case Base Maintenance
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Competence-Guided Case-Base Editing Techniques
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Remembering Why to Remember: Performance-Guided Case-Base Maintenance
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Building Compact Competent Case-Bases
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Remembering to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Categorizing Case-Base Maintenance: Dimensions and Directions
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
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
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The number of techniques that focuses on how to create compact casebase in case-base maintenance has been increasing over the last few years. However, while those techniques are concerned with choosing suitable cases to improve the system performance, they do not deal with the problem of a limited memory space, which may affect the performance as well. Even when a CBR system admits only a limited number of stored cases in memory, there will still exist the storage-space problem if it has cases that vary in size, as in most of case-based planning domains. This paper focuses on case-deletion policy to release space in the case memory, which can guarantee the competencepreserving property and establish a theoretical lower bound for residual competence.