Estimating Likelihoods for Topic Models
Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have many variants such as NMF, PLSI and LDA, and are used in many fields such as genetics,
|Collections||ANU Research Publications|
|Source:||Proceedings of ACML 2009|
|01_Buntine_Estimating_Likelihoods_for_2009.pdf||248.77 kB||Adobe PDF||Request a copy|
|02_Buntine_Estimating_Likelihoods_for_2009.pdf||138.54 kB||Adobe PDF||Request a copy|
|03_Buntine_Estimating_Likelihoods_for_2009.pdf||273.97 kB||Adobe PDF||Request a copy|
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