Solving the PU Learning Problem

Kristen Jaskie, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingChapter


The earliest papers on positive unlabeled learning were written in the late 1990s, such as Denis [1998] and De Comité et al. [1999]. Since that time, well over 150 papers, have been published, many of which are included in the bibliography of this book. In this chapter we survey the general types of algorithms that have been used for PU learning and explore some of the more common or important solutions in further detail.

Original languageEnglish (US)
Title of host publicationSynthesis Lectures on Artificial Intelligence and Machine Learning
PublisherSpringer Nature
Number of pages33
StatePublished - 2022

Publication series

NameSynthesis Lectures on Artificial Intelligence and Machine Learning
ISSN (Print)1939-4608
ISSN (Electronic)1939-4616

ASJC Scopus subject areas

  • Artificial Intelligence


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