Least square regularized regression for multitask learning
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Publication:2319008
DOI10.1155/2013/715275zbMath1470.68201OpenAlexW2039434061WikidataQ58916715 ScholiaQ58916715MaRDI QIDQ2319008
Han-Xiong Li, Di-Rong Chen, Yong-Li Xu
Publication date: 16 August 2019
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/715275
Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Cites Work
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- Estimating variable structure and dependence in multitask learning via gradients
- Convex multi-task feature learning
- A notion of task relatedness yielding provable multiple-task learning guarantees
- Learning rates of least-square regularized regression
- 10.1162/153244304322765658
- Multi-task Regression using Minimal Penalties
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