Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning

Keywords

Generalization, Computer science, Artificial intelligence, Inference, Task (project management)

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Cited by

• Fuzzy sets in machine learning and data miningEyke Hüllermeier — 2011
• Fuzzy methods in machine learning and data mining: Status and prospectsEyke Hüllermeier — 2005
• Data Fusion Methods for Human Health Risk Assessment: Review and ApplicationAmin Zargar, Roberta Dyck, M. Shafiqul Islam — 2014
• Dynamic classifier aggregation using interaction-sensitive fuzzy measuresDavid Štefka, Martin Holeňa — 2015
• Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions PerformanceMikel Uriz, Daniel Paternain, Iris Dominguez-Catena — 2020
• An Empirical Study on Supervised and Unsupervised Fuzzy Measure Construction Methods in Highly Imbalanced ClassificationMikel Uriz, Daniel Paternain, Humberto Bustince — 2020
• The Choquet-Integral as an Aggregation Operator in Case-Based LearningEyke Hüllermeier — 2006
• Fuzzy Methods for Data Mining and Machine Learning: State ofthe Art and ProspectsEyke Hüllermeier — 2008
• A Unifying Framework for Classification Procedures Based on Cluster Aggregation by Choquet IntegralL. Troiano — 2012
• A Knowledge-Light Approach to Regression Using Case-Based ReasoningNeil McDonnell, P. Cunningham — 2006

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