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Regular version of the site

Book chapter

Recommender-based Multiple Classifier System

P. 21-30.
Kashnitsky Y.

The paper briefly introduces multiple classifer systems and describes a new algorithm, which improves classification accuracy by means of recommendation of a proper algorithm to an object classification. This recommendation is done assuming that a classifier is likely to predict the label of the object correctly if it has correctly classified its neighbors. The process of assigning a classifier to each object is based on Formal Concept Analysis. We explain the idea of the algorithm with a toy example and describe our first experiments with real-world datasets.