Generative and discriminative infinite restricted Boltzmann machine training
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22908
Abstract: As one of the essential deep learning models, a restricted Boltzmann machine (RBM) is a commonly used generative training model. By adaptively growing the size of the hidden units, infinite RBM (IRBM) is obtained, which… read more here.
Keywords: generative discriminative; training; boltzmann machine; restricted boltzmann ... See more keywords
Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1003910
Abstract: Predictive models for assessing the risk of developing lung cancers can help identify high-risk individuals with the aim of recommending further screening and early intervention. To facilitate pre-hospital self-assessments, some studies have exploited predictive models… read more here.
Keywords: generative discriminative; predicting lung; lung; discriminative framework ... See more keywords