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Can FCA-based Recommender System Suggest a Proper Classifier? | | Yury Kashnitsky
; Dmitry I. Ignatov
; | | Date: |
21 Apr 2015 | | Abstract: | The paper briefly introduces multiple classifier 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. | | Source: | arXiv, 1504.5473 | | Services: | Forum | Review | PDF | Favorites | |
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