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Regular version of the site

Article

Additive Regularization for Topic Models of Text Collections

Доклады Академии наук. 2014. Vol. 89. No. 3. P. 301-304.

ARTM advantages:
  ARTM is much simpler that Bayesian Inference
  ARTM focuses on formalizing task-specific requirements
  ARTM simplifies the multi-objective PTMs learning
  ARTM reduces barriers to entry into PTMs research field
  ARTM encourages the development of regularization library
ARTM restrictions:
  Choosing a regularization path is a new open issue for PTMs