The generalization ability of logistic regression with Markov sampling

The generalization ability of logistic regression with Markov sampling

In the case of non-independent and identically distributed samples, we propose a new ueMC algorithm based on uniformly ergodic Markov samples, and study the generalization ability, the learning rate and convergence of the algorithm. We develop the ueMC algorithm to generate samples from given datase...

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Bibliographic Details
Main Authors: Zhiyong Qian, Wangsen Xiao, Shulan Hu
Format: Article
Language:English
Published: AIMS Press 2023-07-01
Series:Electronic Research Archive
Subjects:
non-independent identically distributed samples
logistic regression model
uniformly ergodic markov chain algorithm
generalization ability
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2023267?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2023267?viewType=HTML

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