Discriminative Learning Algorithm

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A Discriminative Learning Algorithm is a probabilistic learning algorithm that produces a predictive model (a discriminatively trained model) by directly estimating the conditional probability and the aposteriori probability of the target attribute with respect to the predictor variables.



References

2011

2009

  • (Wick et al., 2009) ⇒ Michael Wick, Aron Culotta, Khashayar Rohanimanesh, and Andrew McCallum. (2009). “An Entity Based Model for Coreference Resolution.” In: Proceedings of the SIAM International Conference on Data Mining (SDM 2009).
    • Statistical approaches to coreference resolution can be broadly placed into two categories: generative models, which model the joint probability, and discriminative models that model that conditional probability. These models can be either supervised (uses labeled coreference data for learning) or unsupervised (no labeled data is used). Our model falls into the category of discriminative and supervised.

2005

2002