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The Variational Bayesian Inference for Network Autoregression Models
We develop a variational Bayesian (VB) approach for estimating large-sca...
02/18/2021 ∙ by Wei-Ting Lai, et al. ∙
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Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification
Global optimization of expensive functions has important applications in...
01/19/2020 ∙ by Ray-Bing Chen, et al. ∙
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Greedy Active Learning Algorithm for Logistic Regression Models
We study a logistic model-based active learning procedure for binary cla...
02/01/2018 ∙ by Hsiang-Ling Hsu, et al. ∙
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Multiple-Instance Logistic Regression with LASSO Penalty
In this work, we consider a manufactory process which can be described b...
07/13/2016 ∙ by Ray-Bing Chen, et al. ∙
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