Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space

Multitask learning aims to improve the performance on related tasks by exploring the interdependence among them. Existing multitask learning methods explore the relatedness among tasks on the basis of the input features and the model parameters. In this paper, we focus on nonparametric multitask lea...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2019-06, Vol.30 (6), p.1818-1830
Hauptverfasser:	Tian, Xinmei, Li, Ya, Liu, Tongliang, Wang, Xinchao, Tao, Dacheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Eigenfunction-based learning Eigenvalues Eigenvalues and eigenfunctions Eigenvectors Empirical analysis Hilbert space Kernel Kernels Learning Learning systems Linear programming Machine learning Measurement multitask learning Objective function Operators (mathematics) Optimization Performance enhancement regression Task analysis task relatedness Theoretical analysis Upper bounds
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