Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification
SIBGRAPI '01 Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing
Support vector based prototype selection method for nearest neighbor rules
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Comprehensible classification models: a position paper
ACM SIGKDD Explorations Newsletter
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In this paper we consider the task of prototype selection whose primary goal is to reduce the storage and computational requirements of the Nearest Neighbor classifier while achieving better classification accuracies. We propose a solution to the prototype selection problem using techniques from cooperative game theory and show its efficacy experimentally.