Name
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. |
Year | Venue | Field |
|---|---|---|
2015 | CoRR | Recommender system,Data mining,Pattern recognition,Computer science,Artificial intelligence,Margin classifier,Classifier (linguistics),Formal concept analysis,Machine learning,Quadratic classifier |
DocType | Volume | ISSN |
Journal | abs/1504.05473 | CEUR Workshop Proceedings, 1257, pp. 17-26 (2014) |
Citations | PageRank | References |
1 | 0.40 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yury Kashnitsky | 1 | 1 | 3.44 |
| Dmitry I. Ignatov | 2 | 1 | 2.76 |