Sentence examples for distribution topics from inspiring English sources

Forward and backward distribution topics are the most relevant topics when it comes to striving for excellence in OC operations.

The LDA model assumes that a document collection is generated by distribution of topics, and each topic is a probabilistic distribution of terms.

An author is represented by a probability distribution over topics, and each topic is represented as probability distributions over words.

A document is modeled as a probability distribution over topics In LDA, the topic mixture is drawn from a conjugate Dirichlet prior that is the same for all documents.

As in LDA, a topic is chosen from a distribution over topics specific to that author, and the word is generated from the chosen topic.

The topic model represents each experiment as a distribution over topics.

Figure 6 combines the topic composition of all analysed documents and shows the distribution of topics for the combined document corpora.

More formally the generative process goes as follows: the distribution over topics for each document d, and the distribution over words for each topic t, are specified, respectively, by the random variables (i.e. parameters of a hierarchical model) θ d and ϕ t, Here α and β are scalar hyperparameters for symmetric Dirichlet probability distributions, and they regulate the sparsity of the model.

Based on Author-Topic model, McCallum and Wang presented an Author-Recipient-Topic (ART) model for social network analysis, which learns topic distributions based on the direction-sensitive messages sent between entities, adding the key attribute that distribution over topics is conditioned distinctly on both the sender and recipient [12].

By applying a statistical technique called principal-component analysis to the distribution of topics, they were able to divide modern, popular music into 13 genre-straddling "styles" (one, for example, draws from "rock", "classic rock", "pop" and "new wave" while another draws from "rock", "hard rock", "alternative" and "classic rock").

It shows preliminary results about the distribution of topics in Automatic Control teaching.