Pairwise Difference Learning for Classification

Pairwise difference learning (PDL) has recently been introduced as a new meta-learning technique for regression. Instead of learning a mapping from instances to outcomes in the standard way, the key idea is to learn a function that takes two instances as input and predicts the difference between the...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Mohamed Karim Belaid, Rabus, Maximilian, Hüllermeier, Eyke
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Empirical analysis Learning
Online-Zugang:	Volltext
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