Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information

Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information

One of the powerful techniques in data modeling is accounting for features that are available at the training stage, but are not available when the trained model is used to classify or predict test data — Learning Using Privileged Information paradigm (LUPI, Vapnik and Vashist). Sequentia...

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Bibliographic Details
Main Authors: Andrey Lange, Dmitry Smolyakov, Evgeny Burnaev
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Anomaly detection
kernel methods
knowledge transfer
LUPI
one-class SVM
privileged information
Online Access:https://ieeexplore.ieee.org/document/10314493/

Internet

https://ieeexplore.ieee.org/document/10314493/

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