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On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms
2020
Nicolas Garcia Trillos
Zachary Kaplan
Thabo Samakhoana
Daniel Sanz-Alonso
Keywords:
Scalability
Artificial intelligence
Semi-supervised learning
Gibbs sampling
Graph
Mathematics
Bayesian probability
Machine learning
graph based
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