DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification

NeurIPS 2008 Simon Lacoste-JulienFei ShaMichael I. Jordan

Probabilistic topic models (and their extensions) have become popular as models of latent structures in collections of text documents or images. These models are usually treated as generative models and trained using maximum likelihood estimation, an approach which may be suboptimal in the context of an overall classification problem... (read more)

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