COMS 4772 Fall 2013 Mixture models
نویسنده
چکیده
The mixing distribution is also sometimes called the mixing weights. There are a number of statistical estimation / unsupervised learning tasks associated with mixture models. Three such tasks are as follows (assuming an iid sample from some m? ∈M is given): 1. Density estimation: Here we assume that each distribution in M has a density. The task is to pick m̂ ∈ M such that m̂ is close to m? under some suitable divergence measure (e.g., total variation distance, Kullback-Leibler divergence).
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