Multiple Instance Learning

This chapter provides a general introduction to the main subject matter of this work: multiple instance or multi-instance learning. The two terms are used interchangeably in the literature and they both convey the crucial point of difference with traditional (single-instance) learning. A formal desc...

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Published inMultiple Instance Learning pp. 17 - 33
Main Authors Bello, Rafael, Zafra, Amelia, Vluymans, Sarah, Sánchez-Tarragó, Dánel, Cornelis, Chris, Herrera, Francisco, Ventura, Sebastián
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
Subjects
Aerosol Optical Depth
Algorithms & data structures
Artificial intelligence
Class Label
Image processing
Inductive Logic Programming
Instance Label
Multiple Instance Learn
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Summary:This chapter provides a general introduction to the main subject matter of this work: multiple instance or multi-instance learning. The two terms are used interchangeably in the literature and they both convey the crucial point of difference with traditional (single-instance) learning. A formal description of multiple instance learning is provided in Sect. 2.1 and we discuss its origins in Sect. 2.2. In Sect. 2.3, we describe different learning tasks within this domain, which may or may not have an equivalent in single-instance learning. Finally, Sect. 2.4 lists a wide variety of applications corresponding to the different multi-instance learning paradigms.
ISBN:3319477587
9783319477589
DOI:10.1007/978-3-319-47759-6_2