The link between multiple-instance learning and learning from only positive and unlabelled examples

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings 11th International Workshop on Multiple Classifier Systems
EditorsZ-H Zhou, F Roli, J Kittler
Place of PublicationBerlin-Heidelberg
PublisherSpringer
Pages157-166
Number of pages10
ISBN (Print)978-3-642-38066-2
DOIs
Publication statusPublished - 2013
EventMCS 2013, Nanjing, PR China - Berlin-Heidelberg
Duration: 15 May 201317 May 2013

Publication series

Name
PublisherSpringer Verlag
NameLecture Notes in Computer Science
Volume7872
ISSN (Print)0302-9743

Conference

ConferenceMCS 2013, Nanjing, PR China
Period15/05/1317/05/13

Keywords

  • CWTS JFIS < 0.75

Cite this

Li, Y., Tax, DMJ., Duin, RPW., & Loog, M. (2013). The link between multiple-instance learning and learning from only positive and unlabelled examples. In Z-H. Zhou, F. Roli, & J. Kittler (Eds.), Proceedings 11th International Workshop on Multiple Classifier Systems (pp. 157-166). (Lecture Notes in Computer Science; Vol. 7872). Springer. https://doi.org/10.1007/978-3-642-38067-9_14