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Found 2 papers, 1 papers with code
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
We then use Belief Propagation (BP) to marginalize the Gibbs distribution to obtain pseudo labels.
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
We show that if the information contained in the graph and the time series data are closely related, then this inter-dependence can be used to predict the time series with improved accuracy.
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