Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning
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发表时间：2022-10-02
发表刊物：IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷号：32
期号：5
页面范围：1906-1919
ISSN号：2162-237X
关键字："Task analysis; Complexity theory; Upper bound; Analytical models; Kernel; Probability; Learning systems; Covering number; generalization bound; multitask learning (MTL); task relatedness; vector-valued function learning (VFL)"
发表时间：2022-10-02