Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
A topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents.
12
votes
0
answers
2k
views
Is sparsity of topics a necessary condition for latent Dirichlet allocation (LDA) to work
I have been playing with the hyper-parameters of the latent Dirichlet allocation (LDA) model and am wondering how sparsity of topic priors play a role in inference.
I have not performed these experime …
5
votes
1
answer
10k
views
Why does lower perplexity indicate better generalization performance?
In the seminal paper on Latent Dirichlet Allocation, the authors state that,
A lower perplexity score indicates better generalization performance.
$perplexity(D_{test})=exp\Big\{-\frac{\sum_{d=1}^{M} …
2
votes
1
answer
395
views
Question about implementing nested Chinese Restaurant Process (nCRP)
I am trying to follow the original paper on nCRP by Blei et al., 2010 and am confused with it's implementation.
The authors describe the analogy for an nCRP as follows:
A tourist arrives at the c …