Can FCA-based Recommender System Suggest a Proper Classifier?
Information Retrieval
2015-04-22 v1 Machine Learning
Machine Learning
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.
Cite
@article{arxiv.1504.05473,
title = {Can FCA-based Recommender System Suggest a Proper Classifier?},
author = {Yury Kashnitsky and Dmitry I. Ignatov},
journal= {arXiv preprint arXiv:1504.05473},
year = {2015}
}
Comments
10 pages, 1 figure, 4 tables, ECAI 2014, workshop "What FCA can do for "Artifficial Intelligence"