Solving the PU Learning Problem

Kristen Jaskie; Andreas Spanias

doi:10.1007/978-3-031-79178-9_4

Solving the PU Learning Problem

Kristen Jaskie, Andreas Spanias

Engineering, Ira A. Fulton Schools of (IAFSE)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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 language	English (US)
Title of host publication	Synthesis Lectures on Artificial Intelligence and Machine Learning
Publisher	Springer Nature
Pages	47-79
Number of pages	33
DOIs	https://doi.org/10.1007/978-3-031-79178-9_4
State	Published - 2022

Publication series

Name	Synthesis 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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10.1007/978-3-031-79178-9_4

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Solving the PU Learning Problem

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