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topic simplex 0.002304304
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probability model 0.001956345
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generative model 0.001868618
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document set 0.0017836669999999998
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model parame 0.00173765
model param 0.0017348020000000001
proposed model 0.001730404
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individual document 0.00156858
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document pdmm 0.0015148739999999998
document pmm 0.0015117989999999999
model 0.00151037
dirichlet distribution 0.001489256
mixture models 0.001481679
document fre 0.001476907
generating document 0.001472553
document expression 0.0014707869999999999
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word list 0.0014613590000000002
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data set 0.001450318
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test data 0.001278768
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dirichlet mixture 0.001267505
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approximate distribution 0.00120243
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explicit topics 0.001139999
topics categorization 0.00112007
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actual topics 0.001116584
assigned topics 0.0011157889999999998
generative models 0.0011153089999999999
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different mixture 0.001090245
words vector 0.0010898779999999999
relevant topics 0.0010874629999999999
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pmm models 0.00101851
posterior probability 0.001012529
learning algorithm 9.8233E-4
bayesian inference 9.77833E-4
ics models 9.77298E-4
equal mixture 9.67462E-4
parametric mixture 9.63304E-4
whole documents 9.58082E-4
other methods 9.51592E-4
mixture ratios 9.49849E-4
distribution 9.46369E-4
estimating mixture 9.448880000000001E-4
estimated mixture 9.448880000000001E-4
lagrange function 9.297909999999999E-4
categorization problem 9.24579E-4
erate documents 9.13834E-4
hard problem 9.06661E-4
ing information 9.02797E-4
