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Parameter Estimation for the Latent Dirichlet Allocation

Published on Oct 30, 20134890 Views

Jaka Špeh

We review three algorithms for parameter estimation of the Latent Dirichlet Allocation model: batch variational Bayesian inference, online variational Bayesian inference and inference using collapsed

SiKDD 2013 - Ljubljana

Related categories

Artificial IntelligenceData Mining

Chapter list

Parameter Estimation for the Latent Dirichlet Allocation00:00
Outline00:29
LDA model - 100:51
LDA model - 200:53
LDA model - 301:51
LDA model - 402:27
LDA model - 502:56
LDA model - 603:30
LDA model - 703:43
LDA model - 803:59
Algorithms - 104:19
Algorithms - 204:23
Collapsed Gibbs Sampling - 104:36
Collapsed Gibbs Sampling - 204:39
Collapsed Gibbs Sampling - 304:58
Collapsed Gibbs Sampling - 405:10
Collapsed Gibbs Sampling - 505:36
Collapsed Gibbs Sampling - 605:47
Collapsed Gibbs Sampling - 706:01
Collapsed Gibbs Sampling - 806:12
Variational Bayesian Inference - 106:26
Variational Bayesian Inference - 206:33
VB: Initial State07:23
VB: Step 108:03
VB: Step 208:23
VB: Step 308:29
VB: Step 408:31
Online Variational Bayesian Inference08:47
Online VB: Initial Step09:24
Online VB: Step 109:43
Online VB: Step 209:57
Online VB: Step 310:05
Online VB: Step 410:12
Online VB: Step 510:16
Online VB: Step 610:18
Comparison10:20
Comparison: Time10:29
Comparison: Bound on Perplexity11:18
Algoritms, live demo on http://lda.ijs.si12:54