Journal Article10.1016/J.NEUCOM.2003.10.001
Improving classification with latent variable models by sequential constraint optimization
TL;DR: A method to use multiple generative models with latent variables for classi cation tasks by assuming that each of the models is deterministic, by which the data-point is associated to only a single latent state.
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About: This article is published in Neurocomputing. The article was published on 01 Jan 2004. The article focuses on the topics: Probabilistic latent semantic analysis & Latent variable.
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