Examples of LDA 2 in a sentence
However, the generality of the foregoing notwithstanding, the CNDA and, if applicable, the LDA 2 executed by Publisher shall continue in full force and effect.
The entry in the ith row and jth column is the percentage of images from class i that were misidentified as class j.liance on latent Dirichlet allocation (LDA) [2], which is essentially an unsupervised dimensionality reduction tech- nique and as such, is not necessarily conducive to achiev- ing the highest classification accuracy.
A registered lobbyist, in turn, is a person listed in required filings as a lobbyist for a particular client by a registrant under the LDA, 2 U.S.C. § 1603(a), because of the person's actual or anticipated lobbying activities and contacts.
Nor does it prohibit former appointees from contacting "covered legislative branch officials," within the meaning of the LDA, 2 U.S.C. § 1602(4).
The other method was based on latent Dirichlet allocation (LDA) [2].
First, we use LDA [2], where each of K topics is represented by a term distribution φ, while each document has a topic distribution θ.
After that, we employ LDA [2] to extract latent topics (Z) from the SAT clicked documents (D) of all users.
However, the generality of the foregoing notwithstanding the CNDA and, if applicable, the LDA 2 executed by Publisher shall continue in full force and effect.
Instead of imposing a hard cardinality constraint β 0 k, we may instead penalize by adding a penalty term1 λ β 0 or its natural relaxation, the l1 shrinkage used in Lasso [12], sparse LDA [2], and sparse PCA [14, 15].
La- tent semantic analysis techniques provide a powerful means2At http://www.allmusic.comof identifying underlying topics as clusters of terms derived from document-word co-occurrences [3, 7].Recently, the Latent Dirichlet Model (LDA) [2] has been introduced to capture statistical properties of text docu- ments in a collection and provide a compact document repre- sentation in terms of underlying topics.