Latent Dirichlet Allocation
LATENT DIRICHLET ALLOCATION This line of thinking leads to the latent Dirichlet allocation (LDA) model that we present in the current paper. It is important to emphasize that an assumption of exchangeability is not equivalent to an as-
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Latent Dirichlet Allocation
jmlr.orgdiscrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each item of a collection is modeled as a finite mixture over an underlying set of topics. Each topic is, in turn, modeled as an infinite mixture over …
Dropout: A Simple Way to Prevent Neural Networks from …
jmlr.orgprobability pduring training, the outgoing weights of that unit are multiplied by pat test time as shown in Figure 2. This ensures that for any hidden unit the expected output (under the distribution used to drop units at training time) is the same as the actual output at test time.
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