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Does generalization performance of $l^q$ regularization learning depend on $q$? A negative example

机译：$ l ^ q $正则化学习的泛化表现是否依赖在$ q $？一个反面的例子

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Lin, Shaobo; Xu, Chen; Zeng, Jingshan; Fang, Jian;
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年度 2013
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正文语种 {"code":"en","name":"English","id":9}
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1. Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC [J] . Hyeyoung Park, Noboru Murata, Shun-ichi Amari Neural computation . 2004 ,第2期

机译：使用NIC优化正则化来提高自然梯度学习的泛化性能
2. Block-regularized repeated learning-testing for estimating generalization error [J] . Wang Ruibo, Li Jihong, Yang Xingli, Information Sciences: An International Journal . 2019 ,第期

机译：块 - 正常化的重复学习测试，用于估算泛化误差
3. Generalization of Motor Learning Depends on the History of Prior Action [J] . John W Krakauer, Pietro Mazzoni, Ali Ghazizadeh, PLoS Biology . 2006 ,第10期

机译：运动学习的普遍化取决于先发动作的历史
4. The effect of initial weight, learning rate and regularization on generalization performance and efficiency [C] . Wu Yan, Zhang Limimg . 2002

机译：初始权重，学习率和正则化对泛化性能和效率的影响
5. Properties of learning of the Fuzzy ART neural network and improvements of the generalization performance of the Fuzzy ARTMAP neural network. [D] . Dagher, Issam J. 1997

机译：Fuzzy ART神经网络的学习性质和Fuzzy ARTMAP神经网络的泛化性能的改进。
6. Generalization of Motor Learning Depends on the History of Prior Action [O] . John W Krakauer, Pietro Mazzoni, Ali Ghazizadeh, 2006

机译：运动学习的普遍化取决于先发动作的历史
7. Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning [O] . Zhang, Chao, Tao, Dacheng, Hu, Tao, 2014

机译：规则化的任务组相关性和泛化界多任务学习

Does generalization performance of $l^q$ regularization learning depend on $q$? A negative example

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