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arXiv research

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168,742 papers · 148 categories

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1 result for “Non-voters”
Learning from missing data with the Latent Block Modelcs.LG

Proposes a Latent Block Model for analyzing missing data.

problem Missing data can lead to misleading conclusions if not properly accounted for.
method Co-clustering model based on Latent Block Model, with variational EM algorithm for inference and model selection criterion.
result The proposed model reveals meaningful groups and insights from non-voters in French Parliament voting records.
Latent Block ModelMissing Not At RandomVariational EMNon-votersFrench Parliament
2020-10-23abs ↗pdf ↗