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**Loza Mencía, Eneldo and Park, Sang-Hyeun and Fürnkranz, Johannes** (2009):

*Efficient Voting Prediction for Pairwise Multilabel Classification.*

In: Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN-09), d-side publications, pp. 117-122, ISBN 2-930307-09-9,

[Online-Edition: http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2009-...],

[Conference or Workshop Item]

## Abstract

The pairwise approach to multilabel classification reduces the problem to learning and aggregating preference predictions among the possible labels. A key problem is the need to query a quadratic number of preferences for making a prediction. To solve this problem, we extend the recently proposed QWeighted algorithm for efficient pairwise multiclass voting to the multilabel setting, and evaluate the adapted algorithm on several real-world datasets. We achieve an average-case reduction of classifier evaluations from n^2 to n + dn log n, where n is the total number of labels and d is the average number of labels, which is typically quite small in real-world datasets.

Item Type: | Conference or Workshop Item |
---|---|

Erschienen: | 2009 |

Creators: | Loza Mencía, Eneldo and Park, Sang-Hyeun and Fürnkranz, Johannes |

Title: | Efficient Voting Prediction for Pairwise Multilabel Classification |

Language: | English |

Abstract: | The pairwise approach to multilabel classification reduces the problem to learning and aggregating preference predictions among the possible labels. A key problem is the need to query a quadratic number of preferences for making a prediction. To solve this problem, we extend the recently proposed QWeighted algorithm for efficient pairwise multiclass voting to the multilabel setting, and evaluate the adapted algorithm on several real-world datasets. We achieve an average-case reduction of classifier evaluations from n^2 to n + dn log n, where n is the total number of labels and d is the average number of labels, which is typically quite small in real-world datasets. |

Title of Book: | Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN-09) |

Publisher: | d-side publications |

ISBN: | 2-930307-09-9 |

Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Knowledge Engineering |

Date Deposited: | 24 Jun 2011 14:50 |

Official URL: | http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2009-... |

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