Skip navigation
Skip navigation

Reverse Multi-Label Learning

Petterson, James; Caetano, Tiberio

Description

Multi-label classification is the task of predicting potentially multiple labels for a given instance. This is common in several applications such as image annotation, document classification and gene function prediction. In this paper we present a formulation for this problem based on reverse prediction: we predict sets of instances given the labels. By viewing the problem from this perspective, the most popular quality measures for assessing the performance of multi-label classification admit...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
URI: http://hdl.handle.net/1885/27764
Source: Proceedings of the International Conference on Neural Information Processing (ICONIP 2010)

Download

File Description SizeFormat Image
01_Petterson_Reverse_Multi-Label_Le_2010.pdf227.46 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  23 August 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator