Efficient set-valued prediction in multi-class classification

T. Mortier; Marek Wydmuch; Krzysztof Dembczyński

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Article

Title

Efficient set-valued prediction in multi-class classification

Authors

T. Mortier
Marek Wydmuch (WIiT) ^{[ 1 ][ P ]}
Krzysztof Dembczyński (WIiT) ^{[ 2 ][ 2.3 ][ P ]}

^{[ 1 ]} Dziekanat Wydziału Informatyki i Telekomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2021

Published in

Data Mining and Knowledge Discovery

Journal year: 2021 | Journal volume: vol. 35 | Journal number: iss. 4

Article type

scientific article

Publication language

english

Keywords

EN

Expected utility maximization
Multi-class classification
Set-valued prediction

Date of online publication

06.05.2021

Pages (from - to)

1435 - 1469

URL

https://link.springer.com/article/10.1007/s10618-021-00751-x

Points of MNiSW / journal

140.0

Points of MNiSW / journal in years 2017-2021

140.0

Impact Factor

3.670 [List 2020]

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