Short comings of latent models in supervised settings Vijay Krishnan   View Paper (PDF)   Return to Posters Abstract . We then use our insight into the shortcomings of these models, to come up with a promising variant of the LDA, that does not suffer from the aforesaid drawbacks. This could potentially lead to much better performance and model fit, in the supervised scenario. ©2006 Association for Computing Machinery