Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models

26 Jul 2017 Trevor Campbell Brian Kulis Jonathan How

Bayesian nonparametrics are a class of probabilistic models in which the model size is inferred from data. A recently developed methodology in this field is small-variance asymptotic analysis, a mathematical technique for deriving learning algorithms that capture much of the flexibility of Bayesian nonparametric inference algorithms, but are simpler to implement and less computationally expensive... (read more)

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