A scale-free gain rule applied to variational ELBO paths recovers true factor dimensionality in partially exploratory factor analysis where raw information criteria over-factor.
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2 Pith papers cite this work. Polarity classification is still indexing.
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VisDoc uses a GenAI pipeline grounded in CTML to restructure OSS onboarding docs, with small evaluations showing higher task success and lower cognitive load.
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Recovering Latent Structures after Variational Bayesian Variable Selection: Fit Assessment and Factor-Number Selection in Partially Exploratory Factor Analysis
A scale-free gain rule applied to variational ELBO paths recovers true factor dimensionality in partially exploratory factor analysis where raw information criteria over-factor.
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Restructure This: Using AI to Restructure Onboarding Documents to Reduce Cognitive Overload
VisDoc uses a GenAI pipeline grounded in CTML to restructure OSS onboarding docs, with small evaluations showing higher task success and lower cognitive load.