Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Complexity Measures of Supervised Classification Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Using k-d Trees to Improve the Retrieval Step in Case-Based Reasoning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Applying Case Retrieval Nets to Diagnostic Tasks in Technical Domains
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
"Fish and Sink" - An Anytime-Algorithm to Retrieve Adequate Cases
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Distributed case-based reasoning
The Knowledge Engineering Review
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Measuring the Applicability of Self-organization Maps in a Case-Based Reasoning System
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Case retrieval through multiple indexing and heuristic search
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Expert Systems with Applications: An International Journal
Decision diagrams: fast and flexible support for case retrieval and recommendation
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Unsupervised case memory organization: analysing computational time and soft computing capabilities
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Domain of competence of XCS classifier system in complexity measurement space
IEEE Transactions on Evolutionary Computation
Understanding Dubious Future Problems
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Adaptive case-based reasoning using retention and forgetting strategies
Knowledge-Based Systems
Intelligent system applications in electronic tourism
Expert Systems with Applications: An International Journal
Reexamination of CBR hypothesis
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Profiling instances in noise reduction
Knowledge-Based Systems
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The performance of a Case-Based Reasoning system relies on the integrity of its case base but in real life applications the available data used to construct the case base invariably contains erroneous, noisy cases. Automated removal of these noisy cases can improve system accuracy. In addition, error rates for nearest neighbour classifiers can often be reduced by removing cases to give smoother decision boundaries between classes. In this paper we argue that the optimallevel of boundary smoothing is domain dependent and, therefore, our approach to error reduction reacts to the characteristics of the domain to set an appropriate level of smoothing. We present a novel, yet transparent algorithm, Threshold Error Reduction, which identifies and removes noisy and boundary cases with the aid of a local complexity measure. Evaluation results confirm it to be superior to benchmark algorithms.